Bioinformatics Jobs

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community. Description JOB DESCRIPTION: • Maintains software, hardware and the network in a bioinformatics setting or molecular modeling laboratory. • Supervises regular updates and recommends state-of-the-art enhancements. • Analyzes high throughput screening data and performs structure activity analyses to generate predictive correlations. • Applies a limited range of molecular modeling tools to refinement of high throughput screening hits. • Presents the models in a form that allows users to make decisions concerning the direction of an experimental program. • Performs related responsibilities as required. ADDITIONAL JOB DETAILS: Position Information: • Plan and coordinate the advanced computational and statistical analysis of research projects providing technical expertise in novel and/or revised analytical methodologies and techniques and plan the processing and analysis of research data obtained. • Design analysis strategies to perform genomic, epigenomic and multi-omic analyses of large population databases. • Generate documentation related to analysis. • Develop and prepare research goals and/or research work to attain specific goals of various projects. • Assist in the development of proposals for new funding. • Assure compliance with safety programs and institutional review boards. • Evaluate research findings and assist in reporting of results to sponsoring agencies. • Assist in preparation of progress reports for funding agencies. • Co-author research papers and manuscripts for publication and collaborate in the development of posters and data presentations at conferences and workshops. MINIMUM QUALIFICATIONS: • A master's degree in biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline; some student-related experience gained through formal Master's-level academic training. PREFERRED QUALIFICATIONS: • Master’s degree in Epidemiology, Biostatistics, or an equivalent amount of experience to perform statistical analysis of high-throughput genomic, biomedical and health data. • Experience with analysis of large health science databases. • Demonstrated ability to participate in the design, execution, and analysis to study the genomics, epigenomics, and multi-omics of human disease in large population-based samples. • Demonstrated interpersonal skills and oral and written communication. • R and/or SAS programming experience, working knowledge of Unix/Linux file system and high-performance computing (HPC) environment. NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee. Additional Details Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred. Connect With Us! Connect with us for general consideration! Job Number 145795 Job Type Regular Full-Time Division School Of Public Health Department SPH: Epidemiology Job Category Laboratory Research Campus Location (For Posting) : Location US-GA-Atlanta Location : Name Emory Campus-Clifton Corridor Remote Work Classification Primarily On Campus Health and Safety Information Not Applicable

Piper Companies is seeking a skilled and innovative Scientist (Bioinformatics) to join a well-established research team in Frederick, MD. The Scientist will be responsible for executing molecular biology techniques in BSL-2, BSL3, and BSL-4 laboratories. Responsibilities of the Scientist: · Conduct DNA and RNA extractions using established protocols and troubleshoot issues to ensure high-quality sample preparation. · Serve as the lead on in vitro and in vivo animal studies · Develop and optimize molecular biology techniques, including PCR, qPCR, and library preparation for NGS workflows. · Design, perform, and analyze experiments related to molecular biology projects with a focus on animal models · Process and analyze NGS data, applying bioinformatics tools to derive meaningful insights. · Maintain meticulous laboratory records, adhering to standards of documentation and data integrity. Qualifications of the Scientist: · 7+ years of academic or industry experience working bacteriology, molecular biology or related field is required · Professional experience working in BSL-2, BSL-3, or BSL-4 laboratories is highly preferred · Experience working with animal models · PCR, qPCR, ddPCR, NGS (Next Generation Sequencing) experience · Master’s or PhD in Molecular Biology, Microbiology, Cell Biology, Virology, or related field · Eligibility to obtain/maintain Active Secret Clearance and BPRP status in the United States Compensation for the Scientist: · Salary range: between $80,000 - $90,000 annually, commensurate with experience · Comprehensive Benefits: Cigna Medical, Dental, Vision, ADP 401k, PTO, Paid Holidays, Sick leave as required by law, STD, LTD This job is open for applications beginning on 4/4/2025. Applications will be accepted at least 30 days after the posting date. Keywords: Scientist, associate scientist, molecular biology, next generation sequencing, NGS, laboratory, GMP, GLP, good laboratory practice, NGS data, bacteriology, in vivo, invitro, animal model, NHP, non-human primate, microbiology, virology, secret clearance, DNA, RNA, DNA extraction, RNA extraction, library prep, protein purification, PCR, qPCR, ddPCR, biosafety level, BSL2, BSL3, BSL4, senior researcher, senior research associate, research associate, RA, sample preparation #LI-BN1 #LI-ONSITE

Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Apr 17 2025 Scientific Leader, Bioinformatics Engineering Do you share a desire to advance scientific knowledge and capitalise on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focused on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Collaboration is key as Data, Automation and Predictive Sciences will only be successful by working in close collaboration with matrix partner teams within Research Technologies functions, in the Research Units (all therapeutic areas), Onyx Research Data Platform (Tech/IT), R&D AIML and Risk & Compliance. As a Scientific Leader, Bioinformatics Engineering in the Data Sciences team aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists across Research Technologies functions to develop and deliver high-quality, high-impact industry-leading bioinformatics solutions. You will focus particularly on delivering bioinformatics solutions to produce high value harmonized multi-modal omics data assets at industrial scale and various levels of analysis for use across the medicine discovery portfolio. This position is based 2-3 days per week at a GSK R&D site in the USA (Upper Providence, PA), in the UK (Stevenage), or in Germany (Heidelberg). This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following: • Architecting and delivering complex end-to-end bioinformatics workflows, for large-scale, performant, automated and reproducible analyses of genetic, cellular imaging and multi-omics data, to deliver harmonized multi-modal omics data packages and insights that drive portfolio and pipeline decision-making. • Designing, developing, testing, and enhancing, robust and scalable cloud-native implementations of best-in-class bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK’s Onyx Research Data Platform. • Leading a team of bioinformatics and data science professionals with responsibility for skills and capability development, career development and driving performance within the team. • Working collaboratively as a matrix leader across departments, with scientists developing novel experimental or computational methods, and with data and software engineers, to enable maturation of best-in-class methodology into production quality pipelines. • Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK. • Understanding the internal and external landscape of disease (e.g. Hepatology, Respiratory, Neuroscience) data sources, data standards, and data governance principles to build identify and create high value harmonized multi-modal omics data assets. Why you? Required Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: • PhD or MS + 3yrs professional experience in a relevant scientific discipline with a significant data sciences component. • At least 1 year experience leading a team with a demonstrated passion for driving performance, skills, capability, and career development to grow and improve impact of the team. • Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams across scientific and technical disciplines on large scale and complex database and software projects, in a continuously evolving landscape of scientific methods. • At least 5 years of experience programming and software engineering using Python (preferred) and/or R. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics/monitoring) demonstrated in a corporate setting and/or via open-source contributions • At least 3 years of experience with cloud computing (e.g. Google Cloud, AWS, Azurre, Kubernetes) and modern bioinformatics and data engineering tools (e.g. Nextflow, Docker, Spark, BigQuery). • Demonstrated experience with a range of techniques in reproducible research (e.g. code standards, data standards, FAIR data principles, profiling and optimization, and agile software development) as applied to scientific areas aligned to Target Discovery and Human Genetics & Genomics (e.g. genetics, cellular imaging, omics). Preferred Qualifications: If you have the following characteristics, it would be a plus: • Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms for analysis and interpretation of large-scale genetics, cellular imaging, or multi-modal omics data. • Strong communication and team-working skills, influencing, and leadership skills. • Demonstrated delivery of complex and impactful projects, and coordination of multidisciplinary teams. • Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of ambiguity and change. #GSK_LI Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. A Lead Bioinformatic Research Scientist position is available in the lab of Dr. Jian Xu at Department of Pathology and Center of Excellence for Leukemia Studies (CELS) at St. Jude Children’s Research Hospital to study the genomic and/or metabolic mechanisms controlling stem cell development and blood cancers. Our lab uses cutting-edge genomics, metabolomics and bioinformatics approaches in a multi-disciplinary and collaborative team setting. Our recent studies include the development of the CRISPR CAPTURE approach (Cell 170:1028), the analysis of rewired BCAA metabolism (Cancer Discovery 9:1228), the role of pathogenic non-coding variants (Cancer Discovery 10:724), retrotransposon silencing (Nature Genetics 53:672), therapy resistance in hematologic malignancies (Cancer Discovery 13:170), and metabolic rewiring in erythropoiesis (Science 386:eadh9215). The main responsibilities will be developing and implementing bioinformatic methodologies for integrative genomic and metabolomic studies of childhood cancers; overseeing operations related to genomic and metabolomic data processing and analysis within the Advanced Technology & Genomics (ATG) core, including software pipelines for short-read and long-read-based genome sequencing, single-cell genomics, high throughput metabolomic profiling, and stable isotope tracing; managing databases; and providing bioinformatic support and services to other lab members and St. Jude researchers. Candidates must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence, flexibility and creativity with a record of scientific productivity. Previous experience in single-cell genomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should upload a CV, a short summary of research interest and experience, and a list of three references. Job Responsibilities: • Lead data analysis and deliver high-quality results by formulating advanced and/or new analytical approaches with the available data/ to address challenging data analysis questions. • Deliver data files, and document the analytical process. Participate in manuscript preparation at project's conclusion. • Establish and document protocols or best practices for common research tasks. • Recommend ideas to automate or improve existing analysis methods and implement the improvement. • Evaluate and test new methods and technologies. Develop reusable code and pipeline. Participate in redistribution and education of novel methods to research community when required. • Lead and participate in the department's developmental projects and interdepartmental team projects. Act as a project manager when required. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead-Bioinformatics Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Division/Program Summary Description: The Division of Disease Control’s mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The NYC Public Health Laboratory (PHL) is one of the largest local public health laboratories in the United States where employees contribute to the health and safety of NYC residents by providing clinical and environmental laboratory testing services. PHL is committed to its mission to safeguard the health of all NYC residents by providing quality laboratory testing services that support the priorities of DOHMH and its community partners to prevent and respond to clinical and environmental public health concerns. The Public Health Laboratory (PHL) seeks a qualified candidate to serve as a Bioinformatics Scientist. This position will work primarily in PHL’s Bioinformatics Unit. This position will develop and maintain analysis pipelines as well as perform bioinformatics analyses for high throughput sequencing (HTS) data. It will play an integral role in genomics analysis aimed at responding to public health threats, including but not limited to COVID-19, vaccine preventable diseases, HIV, Legionella as well as respiratory, foodborne, and waterborne disease outbreaks. This is an excellent opportunity to join our multidisciplinary team, and collaborate with local, state, federal, and academic partners. Job Duties and Responsibilities: Conducting bioinformatics analyses for sequencing data that support public health efforts Developing or improving tools related to pathogen identification, outbreak tracking, mapping drug resistance determinants, variant analysis, genome annotation and phylogenetics, genomics data visualization Strengthening the application of genomic tools to support public health diagnostic testing for pathogens from clinical and environmental samples (e.g., wastewater). Conducting literature reviews and stay up to date with cutting edge scientific and epidemiological research and tools. Mentoring and cross-training staff or research fellows at PHL Collaborating with other team members and partners on genomics data management (e.g., SQL databases, public repository uploads, other datasets). Participating in agency wide WGS journal club and genomic data exchange working groups. Developing tools (e.g., dashboards) or strategies (e.g., Docker-based pipelines) to improve accessibility of bioinformatics analyses to non-bioinformaticians (e.g., epidemiologists, virologists, microbiologists). Representing the agency in meetings and conferences. Drafting written protocols and maintain accurate records of software tools design. Writing original manuscripts for publication based on data analyses and product development. Maintaining quality assurance and control of HTS data generated by PHL to ensure reproducibility and accuracy of downstream bioinformatics analyses. This includes writing and designing SOPs and validation/verification protocols. Using best practices for code development, and documentation. Leading and participating in presentations and workshops with Quality Management (QM) at PHL to improve understanding and tracking of sequencing data and analyses quality control measures, data security and data management using resources from APHL, ASM, and others. Preferred Skills: Strong skills in Linux command line and BASH shell scripting. Proficient in R, Python, C, Java, or other programming languages. Experience in SQL. Experience in utilizing multi-core server resources, automating processes, containerization, and workflow languages. Experience with common tools for Next Generation Sequencing Analysis (NGSA), including reference-based analysis and de novo sequencing analysis (knowledge of open source and commercial microbial NGS analysis pipelines) and genome annotation. Demonstrated work in public health genomics research. An MS or PhD degree in the biological sciences, evolutionary biology, genomics, or related fields. Strong analytical and organizational skills; Excellent oral, inter-personal and written communication skills Why you should work for us: - Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/) - Benefits: City employees are entitled to unmatched benefits such as: o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment. o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund. o a public sector defined benefit pension plan with steady monthly payments in retirement. o a tax-deferred savings program and o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers. - Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home. - Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! Commitment to Equity: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 Minimum Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Product Specialist Bioinformatics 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. Location/Division Specific Information Product Specialist Bioinformatics, Clinical Sequencing Division Onsite role Discover Impactful Work This Bioinformatics Product Specialist role provides an outstanding opportunity for a Bioinformatician with a curiosity about working in product support at a global level to deliver outstanding data analysis support for next-generation sequencing platforms. This role is uniquely positioned within the product management team and provides insight to the product roadmap. In this role, you will work as a vital link between customers, field support teams, software product managers and internal bioinformatics development teams to resolve issues related to the usage of software products and interpretation of results. If you have experience of working in the biotechnology industry in a technical or customer support role or have meaningful experience in academia, this is an excellent opportunity to build on your current abilities and learn about how genomics labs across the world analyze next-generation sequencing data. A Day in the life • Work with our global field support colleagues to help our customers with their software and bioinformatics challenges, with an emphasis on gene panel sequencing. This may include troubleshooting, problem-solving, customizing analysis pipelines to resolve issues and present data in the best light • Act as a link between the field teams and internal development teams to identify and resolve advanced customer cases • Capture feedback from customers to help the product management team prioritize requirements for future hardware and software development • Build training materials and run training sessions for our field teams. • Develop a deep understanding of our software analysis pipelines, algorithms and system set up • Participate in reviewing pre-release software Keys to Success Education • BS required in bioinformatics, molecular biology, biochemistry, computer science or equivalent, Masters or PhD (preferred) Experience • Minimum 3 years of confirmed experience in bioinformatics and data analysis. Practical experience with open-source bioinformatics tools and wide knowledge of genomics applications are especially useful • Previous experience in data analysis of next-generation sequencing data is required Knowledge, Skills and Abilities • Ability to present bioinformatics issues and solutions to audiences with varying levels of experience is critical. • Previous experience working with clinical NGS lab customers would be a distinct advantage. • Previous experience using Linux and writing scripts or other code would be an advantage • Looking for a self-starter who is comfortable working in a fast-paced interdisciplinary team Compensation and Benefits The salary range estimated for this position based in California is $100,000.00–$133,000.00. 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

Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (http://med.stanford.edu/curtislab.html), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine’s Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution. The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience • Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data • Experience working within a UNIX/Linux environment • Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL • Excellent communication and team skills and fluency in both spoken and written English • Familiarity with machine learning, information theory and signal processing. • Experience with algorithm development • Familiarity with basic molecular biology • Background in cancer biology EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

You will be part of the Software Development and Analytics team supporting the development of the Next Generation Sequencing cloud applications. You will complete a deep dive into antibody data en route to developing an antibody ranking algorithm. You will be assigned a mentor and work within one of the functional disciplines in the Computational Biology organization. Come join us as part of our internship program in our next breakthrough product. At our Pleasanton R&D center, you can have big company impact while working at a small, nimble and dynamic site. How You’ll Make An Impact: • Apply data science methods and algorithms to profile antibodies and provide useful information to researchers. • Design, code, and test a new antibody algorithm for NGS cloud products. • Work with Bioinformatics sub-team to coordinate development of new features and resolve issues. • Present data from capstone project to a broad audience. What You Bring: • Education: Sophomore or junior university student in Computer Engineering/Computer Science/Bioinformatics. • Excellent interpersonal/communication skills. • Ability to work independently and as part of a wider team. • Experience coding Python. • Experience working in a unix environment. • Experience with common bioinformatics tool Total Rewards Package: At Bio-Rad, we’re empowered by our purpose and recognize that our employees are as well. That’s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee’s work and life cycle. Benefits: We’re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG’s), and more! Compensation: The estimated hourly range for this position is $25 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see. EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. Agency Non-Solicitation: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. Click here for more information on this scam and how to avoid it. Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.

BillionToOne is a next-generation molecular diagnostics company dedicated to developing powerful and accurate diagnostic tests that are accessible to all. Our innovative QCT molecular counting technology significantly enhances the resolution of disease detection using cell-free DNA by over a thousandfold. This groundbreaking technology is integral to our product offerings, including one of our flagship products, Unity Complete™, the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Leveraging the same molecular counting technology, we've expanded our impact into oncology in 2023 with a pioneering liquid biopsy test, Northstar, that combines treatment selection with monitoring. To date, over 500,000 patients have benefited from our innovative and precise diagnostic tests, and our Annual Recurring Revenue (ARR) has grown from $0 to $125 million in the last ~4 years. BillionToOne has successfully raised close to $400 million in funding, with a notable $130 million Series D round completed in June 2024, resulting in a company valuation of over $1 billion. This funding has come from prestigious global institutional investors, including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. BillionToOne has recently been recognized by Forbes as one of America's Best Startup Employers for 2024, highlighting the company's exceptional work environment and commitment to innovation. Our team has grown significantly and despite substantial growth, we have successfully maintained the unique culture that has defined BillionToOne from inception, continuing to cultivate a team that is not only diverse and passionate but also innovative. Headquartered in Menlo Park, California, with an additional facility in Union City, California, BillionToOne remains at the forefront of significant advances in molecular diagnostics, evidenced by the recent announcement of clinical outcomes data for its Unity Fetal Risk Screen and new advancements in cancer diagnostics. For more detailed information about BillionToOne and its groundbreaking work, please visit our website at www.billiontoone.com. We are looking for a Bioinformatics Associate, Prenatal to join our Clinical Operations team to create computational tools to analyze groundbreaking molecule diagnostics. This person will be responsible for developing bioinformatics pipelines and analyzing next-generation DNA sequencing data under the guidance of bioinformatics scientists. This is a dynamic, start-up environment that requires adaptability and the ability to quickly learn and apply new concepts. The Bioinformatics Associate role is a full-time onsite position in Menlo Park, CA. Responsibilities: • Develop sophisticated and robust next-generation sequencing analysis pipelines under the guidance of a senior scientist • Perform analysis of clinical bioinformatics data • Assemble and analyze quality metrics from the clinical laboratory • Maintain analysis pipeline and operational tools using DevOps practices • Collaborate with scientists and support new scientific insights Requirements: • BS or MS in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field • 1-2 years of biology research experience (either during BS/MS or afterwards) • Strong programming skills in Python, R or a similar language, especially with application to complex data processing and transformation • Strong communication skills and ability to collaborate with interdisciplinary teams • Coursework or experience with molecular biology laboratory techniques and human genetics • High mathematical and statistical aptitude • Great attention to detail Nice-To-Haves: • Software Engineering experience, particularly with DevOps best practices • Experience with clinical laboratory operations • 1-2 years of research experience • Molecular biology (DNA purification, PCR, electrophoresis) or next-generation DNA sequencing laboratory experience Benefits And Perks: • Working with a team of ‘rockstars’ who bring out the best in everyone • Open, transparent culture that includes weekly Town Hall meetings • The ability to indirectly or directly change the lives of hundreds of thousands patients • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80% • Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) • Retirement savings program including a 4% Company match • Free daily on-site lunches provided from top eateries • Latest and greatest hardware (laptop, lab equipment, facilities) • A variety of perks on campus (state of the art gym, restaurant) • Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.). For this position, we offer a total compensation package of $98,010 per year, including a base pay range of $71,400-$81,600 per year. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy.