Bioinformatics Jobs

WHO WE ARE Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis. THE PRODUCT We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we’re offering a rare opportunity to join our team and change the world by building tools that help to improve human health. The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with! THE POSITION As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You’ll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature. YOU CAN EXPECT An agile, diverse and multidisciplinary team. A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time. A place to look at things differently, challenge and offer solutions. A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture. A fast-paced environment of continuous improvement, optimised for impact. IN THIS POSITION, YOU WILL This position is for full time, 100% remote work . We would expect you to: Always put the user first. Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker. Continuously iterate and improve existing single cell pipelines and features. Receive and incorporate feedback from customers and colleagues. Perform troubleshooting of customer analyses. Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team. Experiment, test, try, fail and learn continuously. Think like an owner, and take pride in your work. Help and mentor teammates. FOR THIS POSITION, WE LOOK FOR Someone excited about building tools that will be used by thousands of single cell researchers. A track record of designing, building and improving data analysis software that solves user problems. A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level. Fluent in Python and R. Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat. Competency working with container-based cloud applications, ideally on AWS. Strong data visualization skills. Significant experience in conducting code reviews and providing feedback to others. Experience and desire to work as part of a close-knit team. Experience using version control systems such as Git/GitHub is preferred. Proficiency building pipelines with Nextflow or similar frameworks is preferred. Experience of integrating AI tools into development workflows is preferred. Knowledge of and/or interest in web development is preferred. Experience working with Bash is preferred. JOB CONDITIONS This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided. Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email. Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receiv

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Bioinformatics Scientist, with limited guidance from more experienced scientists, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. The Bioinformatics Scientist plays an active role in planning of projects and analyses and is often the bioinformatics lead responsible for the successful execution of the project. This position involves independently making detailed observations, analyzing data and interpreting results. Working in a team setting, the Bioinformatics Scientist, will primarily be involved in Research and Development projects serving as a technical lead in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: Conduct analyses within several product or technology areas and identify problems and discrepancies. Independently plan and analyze results of bench level experiments within several product or technology areas. Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. Utilize and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. Provide technical input and participate in decisions affecting project planning and experimental design. Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. Generate, document, and communicate development plans for critical aspects of a project. Participate in the development of research plans and experimental outlines. Prepare detailed technical procedures, protocols, and reports. Evaluate impact of nonconforming data to product or process. Identify and address trends in study data. Prepare and approve written reports. Lead identification of areas for process improvements. Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. Prepare reports and documentation providing the analysis or summarization of results, outcomes and next steps to supervisor, technical teams/groups, or project teams. Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; provide technical input as needed. Demonstrate technical proficiency and knowledge, scientific creativity, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. Work on problems of diverse and complex scope in which analysis of data requires evaluation of identifiable factors. Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. Work on individual assignments and with project team members as appropriate to meet department and project objectives. Work within project timeframes that are established collaboratively by team members. Act as technical leader for one or more projects that are moderate to complex in scope. Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. Promote an open, collaborative environment built on trust to foster positive teamwork. Assist in planning and recommendation of activities that account for prioritization of organizational and department goals. Ability to train and mentor bioinformatics associates. Ability to organize, present, and convey moderate problems or issues. Ability to communicate clearly with supervisor and group members. Demonstrate excellent presentation. Ability to collaborate, work effectively and contribute within team, department, and cross functional teams. Demonstrate strong attention to detail skills. Ability to effectively work on several varied projects at one time, with frequent changing priorities. Demonstrate excellent analytical, problem solving and decision-making skills. Apply sound technical knowledge and ability gained through experience and/or learning. Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. Ability to work on a computer and phone simultaneously. Ability to travel 5% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD. 1+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. Extensive experience in Linux-based HPC or cloud computing environments and associated tools. Ability to write custom code in at least three programming or scripting languages. Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R. Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. Preferred Qualifications 2+ years of industry or academic experience, post doc. Experience in an FDA-regulated environment, ideally in medical device development. Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment. #LI-BH1 Salary Range: $84,000 - $138,000 (National salary range) $97,000 - $159,000 (California salary range) The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law. 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Organization Overview The Bioinformatics Resource Center (BRC) provides bioinformatics analysis, experimental design consultation, software infrastructure, and training to the scientific community at The Rockefeller University. With a specific expertise in the processing and analysis of high-throughput genomic sequencing data, and in collaboration with both wet and dry lab biologists, the BRC aims to support and accelerate the diverse and cutting-edge research conducted at the university through the creation of analytical pipelines; the analysis of biological data via direct collaborations; and the training of Rockefeller's faculty, students, and scientific staff. Overview The purpose of this position is to design, implement, and deploy applied AI/ML methods for genomics and multi-omics data within the Bioinformatics Resource Center (BRC). These efforts translate institutional AI strategy into robust, reproducible analytical pipelines that directly support research across Rockefeller University laboratories, implemented within existing BRC infrastructure and standards. Responsibilities Responsibilities include: Design, implement, and maintain AI/ML pipelines for genomics and multi-omics data (RNA-seq, ATAC-seq, ChIP-seq, functional genomics)Apply and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators.Develop interpretable models and attribution analyses (e.g., motif discovery, perturbation and variant-effect analyses) to support biological insight.Build, document, and containerize reproducible workflows suitable for shared HPC/GPU environments.Provide consultative support and training to researchers using BRC AI/ML tools and pipelines.Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED QUALIFICATIONS: Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related fieldA minimum of five years of relevant experience applying computational or machine learning methods to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related fieldExperience applying deep learning or foundation-model approaches to sequence-based or multimodal genomics data.Experience in a core facility or highly collaborative research environment.Familiarity with model interpretability for biological insight (motif analysis, attribution methods, TF/RBP modeling).Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments.Track record of contributing to peer-reviewed publications as a computational specialist.Interest in mentoring and training researchers in applied AI/ML methods. The Rockefeller University is an equal opportunity employer – veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $90,000.00/Yr. Compensation Range: Max USD $115,000.00/Yr.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. ZS Discovery partners with pharmaceutical and biotech clients to accelerate the discovery of safer, more effective therapeutics. The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to help research organizations become more productive, more data-driven, and more confident in their decisions. As a venture within ZS building toward practice status, Discovery combines agility and innovation with the resources and knowledge of the broader firm. Bioinformatics Leader ZSD’s bioinformatics team delivers work spanning multi-omics analysis, computational biology, GxP pipeline development, and platform architecture for some of the world’s largest pharma and biotech companies. This role sits at the senior end of the delivery team: leading engagements, building client relationships, and contributing to business development. You will work as a trusted advisor to R&D leaders, helping them think through how bioinformatics can accelerate their programs. What you’ll do: Lead bioinformatics strategy and execution across assigned Discovery client engagements, serving as the primary scientific and analytical point of contactContribute to business development efforts by shaping proposals, identifying expansion opportunities within existing accounts, and supporting client conversationsDesign and implement computational workflows for analysis of multi-omic data (genomics, transcriptomics, proteomics) in drug discovery and translational contextsTranslate complex biological questions into analytical frameworks, delivering clear, client-ready insights to research and R&D stakeholdersCollaborate with cross-functional teams, including scientific strategy, AI, data, and technology, to deliver integrated solutions across the Discovery portfolioMentor and guide junior bioinformatics staff, supporting their technical development and project contributionsStay current on emerging tools, platforms, and methods in bioinformatics and apply relevant advances to client workSupport the development of ZSD’s bioinformatics capabilities, including internal tools, methodologies, and thought leadershipWhat you’ll bring: Advanced degree (PhD or Master’s) in bioinformatics, computational biology, genomics, or a closely related field, or equivalent applied experienceDeep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R, Nextflow, Snakemake) and experience with cloud-based compute environmentsDomain expertise in at least one biological modality—such as genomics, transcriptomics, or single-cell—with AI and ML applied as tools within a broader scientific contextExperience working with human patient-level data and multimodal datasets (omics, imaging, clinical/RWE) in a translational or drug discovery settingStrong communication skills with the ability to present complex analytical findings to both scientific and non-scientific audiencesExperience in a consulting firm, CRO, biotech, or pharma R&D environment preferred; client-facing or professional services experience is a plusCollaborative spirit and the ability to work across teams with diverse scientific and functional backgroundsFluency in EnglishClient-first mentalityIntense work ethicCollaborative spirit and problem-solving approach How you’ll grow: Cross-functional skills development & custom learning pathwaysMilestone training programs aligned to career progression opportunitiesInternal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants . Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This position is funded for 3 year(s); continuation past 3 year(s) will be based on university need, performance, and/or availability of funding. POSITION SPECIFICS The U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Bioinformatics Staff Scientist (Research Data Scientist - Intermediate Professional or Advanced Professional level) position dedicated to advancing the collaborative research of the Center’s Working Groups . NCEMS is an interdisciplinary research Center positioned at the interface of data science with molecular and cellular biology. The Center provides leadership in the integration of diverse, publicly available datasets, enabling cross-disciplinary teams of scientists to synthesize knowledge and pursue fundamental questions at the forefront of the life sciences. About the Position: Bioinformatics Staff Scientists play a supporting role in enabling the research efforts of multidisciplinary scientific teams supported by NCEMS, typically contributing to 2-3 projects simultaneously. Work Arrangement: This position has the potential to be a hybrid of remote and on-site work, with a minimum requirement of 3 days per week on-site at the Penn State University Park campus. This position does not permit fully remote work. Responsibilities: Collaborate with NCEMS Working Groups to design and implement computational methods for integrating, analyzing, and visualizing complex molecular and cellular biology data Lead data wrangling, harmonization, standardization, and quality control of existing biological datasets, with emphasis on next-generation sequencing data. Develop and apply end-to-end data processing workflows from raw data across modern experimental modalities (including, for example, RNA-seq, scRNA -seq, ChIP -seq, DNA-seq, ATAC-seq, and Hi-C). Advise on the selection, development, and application of bioinformatics tools and pipelines (e.g., alignment, expression analysis, variant calling) using open and reproducible science best practices. Support the publication of intermediate data products, code, and documentation. Stay up-to-date with the latest advancements in bioinformatics, computational biology, and available biological datasets. Education and Experience: M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred. Strong proficiency in Python and/or R for data analysis, scripting, and statistical modeling. Demonstrated experience processing raw next-generation sequencing data and developing end-to-end, reproducible analysis workflows. Experience working with complex molecular and cellular datasets, such as genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data. Solid understanding of genetic principles, molecular biology techniques, and genomic databases. Experience developing new bioinformatics tools as dictated by research needs. Publications in peer-reviewed journals demonstrating contributions to the field. Experience supporting/contributing to multi-PI projects. Candidates must also demonstrate a commitment to ethical conduct and research integrity, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a team environment. Application materials: Required documents include the following: A current Curriculum Vitae (CV) or Resume A cover letter detailing the candidate’s interest in the role Benefits: Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. For more detailed information, please visit our Benefits Page. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS If filled as Research Data Scientist - Intermediate Professional, this position requires: Bachelor's Degree 1+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None If filled as Research Data Scientist - Advanced Professional, this position requires: Bachelor's Degree 3+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S. SALARY & BENEFITS The salary range for this position, including all possible grades, is $61,800.00 - $115,100.00. Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page . CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here . EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. Penn State Policies Copyright Information Hotlines

DescriptionWe are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape. We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science. ResponsibilitiesExecute computational analysis for bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome.Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses.Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on.Provide analyses and visualization for presentations and publications.Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test.Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud.Provide training to TCC investigators and trainees. QualificationsM.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered.2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++. Preferred Skills MSc or PhD in bioinformatics, computer Sciences or related fields.Proven experience in analyzing bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome.Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g.Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser).Experience with markup languages such as HTML is preferred.Proven ability to work on the AWS cloud.Experience in bash HPC cluster environment with a parallel file system.Proven ability to research, analyze, recommend, communicate, and implement solutions.Good understanding of chromatin biology, and NGS technologies.Must be able to work as an individual while part of a small team. Employer DescriptionStrength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65885 - $100000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Job Type: Officer of Administration Bargaining Unit: Regular/Temporary: Regular End Date if Temporary: Hours Per Week: 35 Standard Work Schedule: Building: Salary Range: 85,000.00 - 105,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Under the supervision of the lead data scientists and Bioinformatics Director, initiate and complete established data processing pipelines while ensuring compliance with regulatory requirements. Responsibilities Work with our Bioinformatics Director to research, design, develop and test new next-generation-sequencing (NGS) bioinformatics pipelines. Ensure proficiency in all routine bioanalytical pipelines and data processing algorithms used in the Laboratory of Personalized Genomic Medicine (PGM). Facilitate data transfer onto shared server or encrypted external hard‐drives for clinical review by directors, researchers or clinicians. Perform backup, storage and purging of sequencing files (e.g., copying, transferring and filing; periodic clearing out of analytical servers). Monitor backups of data generated by various instruments across the laboratory. Work with senior staff and central IT to establish protocols regarding, and participate in the monitoring, documentation and quality assurance of the above listed activities. Strategize with leadership to ensure data management and any future bioinformatics developments in PGM adheres to strict regulatory oversight. Perform other informatics/bioinformatics tasks as determined by laboratory leadership. Minimum Qualifications Bachelor’s degree in bioinformatics, computational biology, computer science, mathematical science, or data science or equivalent in education and experience, plus three years of related experience. Preferred Qualifications Advanced knowledge of commonly used bioinformatics tools and algorithms, writing pipelines for analysis of NGS datasets generated using Illumina sequencing platforms. Strong programming and analytical skills. Thorough understanding of NGS experimental design, data quality control, genome annotations from major bioinformatics resources (EMBL, NCBI), High proficiency in scripting languages such as Shell, Python, Perl, and R in an academic or industrial environment. Other Requirements Knowledge of programming languages: Bash, R, Perl, Python Operating Systems: Linux and Windows system Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Position Summary The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science. This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed. The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research. Key Responsibilities2. Analyze, curate, and manage research data Perform bioinformatics and data science analyses. The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:ProteomicsMetabolomicsMethylomicsSurvey dataIntegrative multi-omics datasetsHuman biological aging and omics-clock dataDrug repurposing analysesEnrichment and pathway analysesDimensionality reduction and clusteringClassification methods, including random forests and support vector machinesNeural network-based approachesSimple and multiple linear regressionParametric and non-parametric statistical analyses Responsibilities will include: Curating, organizing, and preparing data for analysis and upload to central repositoriesSupporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreementsReviewing and improving standard operating procedures for data transfer, quality control, and managementCoordinating with internal and external teams to ensure timely collection, transfer, and analysis of dataAttending project meetings and contributing to improvements in data workflows, systems, and documentationEnsuring data quality, reproducibility, and compliance with project requirements 3. Collaborate with scientific and administrative teams The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include: Contributing to grant applications, progress reports, and scientific proposalsSupporting manuscript preparation and journal article writingCreating publication-quality figures, tables, and data visualizationsPresenting analyses and findings to interdisciplinary research teamsHelping translate complex computational results into clear biological and scientific interpretations Qualifications Required Education and Experience Strong background in both human biology and bioinformaticsPhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related fieldMinimum of 2 years of professional experience in a biological, biomedical, or computational research environmentStrong proficiency in R, Python, and Bash scriptingDemonstrated experience analyzing biological or biomedical datasetsExperience developing, implementing, and running bioinformatics workflows Required Skills Strong analytical, mathematical, and creative problem-solving skillsExcellent written and oral communication skillsAbility to work both independently and collaboratively in a team-based research environmentStrong organizational skills and attention to detailAbility to prioritize and execute multiple tasks across concurrent projectsExperience with reproducible data analysis practices and documentationAbility to communicate technical results to both computational and non-computational audiencesInterest in applying large language models, agentic AI, or related computational tools to biomedical research workflows Preferred Qualifications Experience with FDA approval processExperience with building apps Compensation And Benefits Salary range: $80,000–$85,000, commensurate with experienceFull-time, onsite positionExciting, collaborative work environment at the forefront of aging researchOpportunity to work with state-of-the-art technologies and interdisciplinary scientific teamsGenerous benefits package, including:Health insurancePaid parental leaveGenerous paid time off401(k) with 5% employer matchWork visa sponsorship available for qualified candidates About The Buck Institute Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply. To Apply Interested candidates should click the Apply button to complete the online application. Please upload both: Your CVA brief statement of research interests, including the names and contact information for three references

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe, or helping find cures for cancer. Discover Impactful Work As part of the Bioinformatics R&D team within the Clinical Next Generation Sequencing Division you will support primer design and the development of targeted sequencing panels, as well as building pipelines and algorithms for next-generation sequencing (NGS). As a leader in life science technologies, our team empowers scientists to harness genomics to drive scientific discovery and advance clinical research in personalized medicine. Location This is a fully onsite role based in Carlsbad, CA or South San Francisco, CA. A Day in the Life Design assays for custom targeted sequencing panels for external and internal researchersUnderstand key scientific questions and translate them into effective assay design strategiesPartner with external customers to understand project requirements and deliver high-quality design solutions that meet their needsCollaborate cross-functionally with molecular biologists, product management, and other bioinformatics and software team members to support new product development, launch, troubleshooting, and optimizationDevelop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysisImprove assay designs through iterative analysis of sequencing data and development of heuristics, optimization methods, and algorithmsEvaluate, implement, and scale new technologies and methods to optimize and automate pipelines for primer design Keys to Success Education PhD in bioinformatics, statistics, genomics, computational biology, computer science or related field; orMS with 3+ years of relevant industry experience Experience Proficiency in Python and shell scriptingHands-on experience with bioinformatics production systemsExperience with targeted NGS sequencing, Ampliseq technology or PCR primer design is highly preferredExperience with sequence analysis tools (BLAST, MAFFT/Clustal, Bowtie/BWA, samtools/bedtools) and strong understanding of genomic databases and annotations (GenBank/RefSeq, ENSEMBL, UCSC)Working knowledge of statistical modeling, optimization, or machine learning applied to genomic or assay-design dataExperience applying modeling or machine learning approaches to support assay performance prediction, off-target assessment, QC flagging, or design-rule optimization is preferred Knowledge, Skills, Abilities Excellent communication and organizational skillsSelf-motivated, collaborative, and detail-orientedStrong problem-solving and troubleshooting skillsCommitment to delivering high-quality results with integrity and professionalism Other Must be legally authorized to work in the United States without sponsorship now or in the futureMust be able to pass a comprehensive background check and drug screen Compensation and Benefits The salary range estimated for this position based in Californie is $95,900.00–$127,800.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment. This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance. Ability to be onsite 3 to 5 days a week a must (possibility of full remote work is currently not available) NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nation’s premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Department of Molecular Pathology working in the field of Clinical Genomics and Precision Medicine. The Molecular Pathology Lab at NYU Langone Health with the Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great opportunity to be involved in an innovative environment utilizing and mastering bioinformatics programming skills, develop new analysis tools/pipelines, analyze challenging datasets, and be involved in cutting edge NGS based cancer diagnostics, clinical genomics and hands on precision medicine for the benefit of patients. Job Responsibilities: · Enhance or develop new automated workflows/pipelines within a nextflow environment for bioinformatic tools utilizing next generation sequencing data in clinical diagnostic assays · Use existing bioinformatics pipelines to analyze the molecular patient data generated in the clinical lab · Oversee systems support for existing bioinformatics pipelines and develop new pipelines to support new molecular assays · Support the team in its common clinical genomics and precision medicine goals · Perform quality control of the generated sequencing data and develop solutions to enhance future performance · Perform different types of data analysis relating to the genomics-based approaches utilized by the lab, in an independent fashion. · Develop new methods for multi-omics data analysis and integration · Work with bioinformatics scientists and clinical pathologists to analyze and interpret patient NGS results for better potential treatment options · Work with lab users to analyze biomedical data and address clinical needs using bioinformatics techniques and tools · Work with MCIIT and HPC team to provide current and future solutions for server, storage and other requirements. Preferred Qualifications: · Expert in creating customized sequencing analysis pipelines, in applications for data analysis, and executing standard bioinformatics pipelines (relevant examples in a GitHub repository).· Basic knowledge and understanding of software engineering concepts· Knowledge of algorithms, data structures, machine learning· Prior experience working in CLIA environment is a plus· Experience in variant calling benchmarking and clinical validation analysis (e.g. concordance, limit of detection, assay reproducibility)· Experience with running workflows on public cloud (GCP / AWS)· Experience with developing and querying databases using SQL queries· Experience with web-development (HTML, CSS, JavaScript, TypeScript and related) Minimum Qualifications: · To qualify you must have a M.Sc. plus a minimum of 3 years’ experience in Bioinformatics, Computer Science, Programming, Software Development, or related fieldPrevious experience with NGS data and associated bioinformatics tools· Experience in Unix/Linux systems including high-performance computing environments· Strong programming skills in Python, R, shell scripting· Proficiency in Nextflow, Django, Docker and Singularity containers· Work experience and algorithm understanding of standard software tools used to generate and manipulate FASTQ, BAM, VCF files including but not limited to BWA, GATK, Picard, samtools, bcftools· Knowledge in the analysis of SNV, Indel, CNV and structural variants for both somatic and germline disease, additional understanding of variant annotation· Familiarity with various NGS QC principles· Knowledge of biology, cancer genomics or an understanding of key and complex biological concepts· Detail-oriented, well-organized and an interest in clinical sequencing and disease related or cancer genomics· Ability to work independently (e.g., recommend new software or bioinformatic tools, find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results)· Team oriented with excellent written and verbal communication skills· Ability to function in a multidisciplinary team including MD’s and PhD’s· Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $105,039.78 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here