Bioinformatics Jobs

An opportunity to work with a cutting edge platform that enables AI-driven, bio simulations that de-risk drug research and development decisions by predicating the clinical outcomes of new drugs before human trials. This Jobot Job is hosted by Avery Warwick... Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary $120,000 - $150,000 per year A Bit About Us Based in San Francisco, CA our company provides pharmaceutical scientists a competitive advantage to accelerate research and development decisions to bring personalized drugs. help us build this future. Our mission to increase human life expectancy through intelligence driven biosystem simulations to truly personalize patient treatment. We are looking for a Sr. Machine Learning/AI Scientist to join our growing team! Why join us? • Competitive Salary! • Great Benefits Package! • The Opportunity to Join an Amazing Team! Job Details We are currently seeking a highly motivated and team-oriented candidate for the position of Bioinformatics Scientist, with expertise in multi-omics data signaling and biological network analysis and applications in the drug discovery and development field. The successful candidate will be working in translational sciences team covering the main aspects of, but not limited to, multi-omics analysis of biomarkers and pathways with AI/ML platform integration for drug PD and efficacy parameterization, descriptor development, and patient stratification facilitating identification and elaboration of different modalities in various therapeutic areas. Responsibilities Contribute to the development and testing of novel and traditional bioinformatics tools to analyze potential pathways and associated networks from drug-target engagement in the context of multi-omics outcomes Contribute to the development of multi-omics driven models for the collection, extraction, analysis, presentation, or tracking of data related to disease pathways, potential therapeutic targets, and drug pharmacodynamics. Use bioinformatics approaches for the development of the research strategy dedicated to the discovery and development of the new pharmaceutics for internal projects as well as in collaboration with private and federal organizations. Perform computational research data analysis and interpret results. Use scripting languages (R, Python, SQL, etc) to retrieve relevant data from various bioinformatics databases; write custom scripts to analyze public or proprietary data. Build computable phenotypes for disease, drug effects, and other conditions using combinations of EHR data and survey data Interpret and visualize results from data aggregation to statistical analysis. Communicate findings in a clear and logical manner to help the Translational Science team make scientific decisions based on the multi-omics outcomes. Considerable periods of time may be spent concentrating and or analyzing data. Education/Experience Ph.D. in Bioinformatics, Computer Science, Biostatistics, Computational Biology, Life Science, or related technical field. Postdoctoral experience in bioinformatics Experience in the Pharmaceutical or Biotech industry is a plus Experience in performing research work and analysis of the -omics data, in particular, transcriptomics datasets. Solid understanding of next-generation sequencing, genomics technologies, and applications, ability to broaden knowledge to adjacent products. Demonstrated ability to successfully use database language for queries (e.g., SQL). It would be a big plus to have Knowledge and experience with PCR assay oligo design. Experience implementing machine learning models. Knowledge, Skills, Abilities Knowledge of molecular biology fields, NGS, omics analysis. Excellent data analysis skills and working knowledge of statistical methods Expertise in scripting language – R and/or Python Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines Ability to prioritize and drive results with a high emphasis on quality. Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail Excellent critical thinking and skills with proven scientific expertise in biological pathways and bioinformatic techniques. Strong team player the ability to work together with your team as well as cross-functionally and even across institutions, to accomplish your goals. Interested in hearing more? Easy Apply now by clicking the "Apply" button

The Position The Position... Studying microorganisms in intricate, multicomponent communities was revolutionized by multiple ‘omics technologies. We aim to leverage next generation sequencing, metabolomics, and proteomic analyses to dissect how the microbiome, the complex microbial consortium that resides in and on humans, contributes to health and disease. The Departments of Infectious Diseases and Bioinformatics at Genentech seek a talented and highly-motivated Computational Researcher who will be responsible for projects aimed at determining the mechanisms driving host-microbe interactions within the human gastrointestinal tract in multiple therapeutic areas. This is an exciting opportunity for a computationally-minded investigator to utilize clinical trial and primary ‘omics data at the intersection of microbiology, immunology, and genetics to inform the discovery of novel treatments for patients. The responsibilities of this position include: • Analyzing and interpreting microbiome whole metagenomic sequencing and transcriptome data and integrating these insights with metabolomic and proteomic data sets in collaboration with the Infectious Diseases Department as well as other therapeutic areas at Genentech • Using computational approaches to interrogate host-microbe interactions in healthy versus diseased patients alongside disease area experts • Presenting analyses to the cross-functional project teams Qualifications • PhD or MS in Computational Biology or Bioinformatics; or in Microbiology, Immunology, or a related field with a demonstrated expertise in the use of computational approaches • Computational Biologist who explores complex biological questions, writes code (R and/or Python preferred), and analyzes data • Motivated to collaborate with scientists from multiple disciplines, and excited to work on a cross-functional team • Excellent written and verbal communication skills; can present to both computational and non-computational colleagues in large and small groups • Understands and can explain the basic statistical principles and best practices for large-scale, high-dimensional data analysis • Fluent in modern Linux, HPC, and cloud environments; R/RStudio or Python/pandas for data analysis, visualization, and statistics; and source control tools such as GitHub/Bitbucket What to expect from us • Highly dynamic, collaborative, cross-functional research teams that aim to discover new therapeutics to help patients • Leverage data and insight from multiple sources, ranging from basic biology experimentation through patient clinical samples • State-of-the-art technologies and cutting-edge experimental approaches to drive our best-in-class research programs • Interface with academic and industry leaders through seminar series and research collaborations • Work hard and play hard to achieve a healthy work-life balance • Focus on honing professional skills and career development

We are currently searching for a Bioinformatics Scientist to provide support to the National Institutes of Health (NIH). This opportunity is a full-time position with MSC and it is on-site in Gaithersburg, MD. Duties & Responsibilities... • Develop and maintain bioinformatics pipelines for various genomics applications. • Develop web-based in-house database interface. • Implement and utilize workflows for next generation sequencing (i.e., QC and analysis). • Participate in innovation and development of analytical solutions. • Work collaboratively with multi-disciplinary team Requirements • BA/BSC with six (6+) years of experience or MA/MSC with four (4+) years of experience. • Experience must be from a related field (i.e., Bioinformatics, Molecular Biology, Computer Science, or related discipline) . • Programming experience using relevant packages (i.e., Python, Perl, R). • Detailed understanding of Illumina based NGS methods and tools. • Experience troubleshooting and exploring various existing scientific analysis tools. • HPC clusters and use of command line tools and scripting experience. • Working knowledge of existing tools to analyze NGS data. • Experience with relational database design and maintenance (i.e., MySQL, Postgres) is a plus. #LI-DD1 Due to our contractual requirements and federal orders, including an Executive Order from the White House and an emergency regulation from the Centers for Medicare & Medicaid Services (CMS), the position for which you are applying requires that you provide proof of your vaccination status. If you are unable to receive the COVID-19 vaccine for medical reasons or because of a sincerely held religious belief, you may request an exemption from the vaccination requirement which shall be reviewed after the submission of requested documentation. If an accommodation is granted, the conditions may include weekly testing and masking. All Guidehouse employees also agree to follow any additional health and safety mitigation policies that may be required in the workplace. Company Description Dovel Technologies and its Family of Companies (Medical Science & Computing and Ace Info Solutions) was acquired in October 2021. Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance, including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities or to apply for a position, and you require accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse, and Guidehouse will not be obligated to pay a placement fee

Summary The Data Scientist I, Bioinformatics will be a key member of the Core Technology team and will develop and implement software tools and algorithms focusing on Next Generation Sequencing (NGS) data to advance ARCUS nuclease development and improve genome editing outcome analysis... The Data Scientist I will work closely with Genomics team members to improve and polish current in-house software and translate scripts into software for general scientific consumption. The individual will also leverage current literature to propose and implement new data analysis pipelines that complement and advance the current system of genomic analysis as well as run current analysis pipelines as needed. The ideal candidate will have extensive experience and knowledge in NGS data analysis. They will have a proven track record of software development for data analytics or bioinformatics applications. The candidate must have a high level of independence to carry out their responsibilities with minimal supervision. • *Please note, Precision BioSciences mandates COVID-19 vaccination of all employees. Accommodations may be made in accordance with applicable law. Essential Duties and Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. This list contains the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform role-related duties other than those contained in this document. • Leverage advanced computation approaches and collaborate with Genomics team members to create advanced assays for genome editing outcomes • Analyze experimental data produced by next-generation sequencing (NGS) including RNAseq and indel analysis • Maintain current and develop new computational and bioinformatic tools • Develop visualization tools for large scale genomic projects • Perform additional duties and responsibilities, as assigned Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job successfully. Required: • PhD in Computational Biology, Bioinformatics or related field or Master's degree and 2+ years of experience in Computational Biology, Bioinformatics or related fields, or equivalent combination of training and experience • Proficiency using Python for data analysis • Proficient in NGS data processing in a Linux computing environment • Some experience in R, shell scripting • Foundation in basic genomics concepts • Familiarity with publicly available bioinformatics databases, tools, algorithms, and websites, such as NCBI, UCSC, ENSEMBL, ENCODE, 1000 Genomes or NHGRI • Experience using visualization tools (ggplot2, seaborne, etc.) • Basic understanding of statistics and algorithms associated with genomics analysis • Experience working independently and within a team depending on project needs • Strong communications skills Preferred: • Software engineering experience with Python • Experience in multiple NGS assays such as RNAseq, bisulfite sequencing, or single cell analysis • Versioning software (git, etc.) • Experience using Rmarkdown or Jupyter notebooks • Experience with SQL databases Travel Requirements • This position requires little to no travel. Location • This is a primarily office-based position associated with the main headquarters in downtown Durham, NC. For the time being, this role will be able to function remotely in accordance with company safety guidelines throughout the duration of the pandemic but is subject to change as needed. Precision BioSciences, Inc. (Nasdaq: DTIL), is a clinical stage biotechnology company dedicated to improving life (DTIL) with its novel and proprietary ARCUS® genome editing platform. This isn't just a statement supporting the products that we're developing - it's a statement that speaks to our collective desire to do our part in improving the lives of those around us. ARCUS is a highly specific and versatile genome editing platform designed with therapeutic safety, delivery, and control in mind. Using ARCUS, Precision is developing allogeneic CAR T and in vivo gene correction therapies for cancer and genetic diseases. Our team includes pioneers in genome editing, leaders in business, and a full staff of talented and committed people who are excited to be a part of medical and scientific breakthroughs. For additional information, please visit www. precisionbiosciences.com Precision BioSciences actively fosters an inclusive environment to ensure we attract and retain the best talent; we value diversity of life experiences and perspectives; and we encourage innovation in pursuit of our mission. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Precision BioSciences complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training

Location: LOC_ROBERTS-Roberts Ctr Pediatric Research Req ID: 113752... Shift: Days Employment Status: Regular - Full Time Job Summary A newly launched Translational Bioinformatics Unit within the Center for Data Driven Discovery (D3b) at The Children’s Hospital of Philadelphia (CHOP) is seeking a level II Bioinformatics Scientist to join our over 30 professional data engineers, developers, and bioinformatics scientists committed to accelerating cures for children with cancer. We’re looking for creative problem solvers who can leverage software and system engineering to perform both upstream and downstream large-scale genomic analysis. You will be involved in brain tumor research and clinical trials projects characterized with multiple next-generation sequencing or microarray technologies (WGS, WXS, Targeted Panel, RNA-Seq, miRNA, methylation, proteomics, scRNA-Seq). The primary goal will be to support precision medicine and clinical decision efforts as part of our ongoing pediatric oncology trials and internal molecular tumor boards for clinical diagnostics. The candidate will focus on the development of novel methods to implement genomics-driven therapy recommendations for rare pediatric central nervous system tumors. This position will secondarily focus on support for molecular and data integration efforts that drive D3b’s research projects. This position is entry level for a PhD-level professional and a 2nd stage position for those with substantial experience without a PhD. Activities occur with moderate supervision with substantial latitude for independent judgment. Development of bioinformatics workflows and processes, and presentation of results are expectations of the position. The Bioinformatics Scientist will attend project meetings and interact daily with BIXU team members and individual lab members on a project-by-project basis. The Scientist will be supervised by an experienced bioinformatician and work within a multi-disciplinary team within CHOP and with external collaborators. The successful candidate will have had either academic or on-the-job training on subjects related to cancer biology. They must have demonstrable productivity in bioinformatics, and at least five years of experience (inclusive of focused academic training) in bioinformatics projects utilizing bash and either Python or R programming. Demonstrable skills in the application of machine learning models in a clinical or translational oncology context is desirable. Experience in the deployment of machine learning models in cloud-based environments is a plus. Experience in the application or development of multi-modal data analysis techniques across genomic and epigenomic data is highly desired. Long Description The successful candidate must have experience in the following areas: • Analysis of sequencing data related to oncology (e.g. somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusions, RNA expression data, and copy number analyses). • Application of machine learning to address questions in clinical or translational oncology • Setting up pipelines and working in high-performance and/or cloud-based computing environments towards bioinformatics data processing for large-scale projects. • Code organization and reproducible workflow experience using Git or Docker. The following qualifications are also highly desirable: • Experience in integrative analysis of multi-modal (genomic, transcriptomic, epigenomic) cancer data in a research or therapeutic context. The successful candidate’s experience with established methods for processing genomics data should allow them to develop and benchmark analytical methods. The successful candidate should be able to work in cross-site teams on deadlines and have strong communication and listening skills. The candidate must be able to manage multiple projects and be prepared to work both independently and on collaborative efforts to complete projects within expected timelines. The candidate should be ready to commit to full data, code, and research transparency and reproducibility. The candidate will be asked to share their GitHub/Bitbucket handle and give a project presentation. Job Responsibilities Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. • Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Develop analysis plans that enable integrative analyses of imaging and genomic data. • Develop at least one “specialty” analytical or biomedical area that serves the collaborative team. Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. • Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. • Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. • Within the context of the collaboration or project, develop and apply best practices to code development. • Establish requirements with the project team. • Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. • Advocate for chosen strategy to project team by showing value of approach • Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. • Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. • Contribute to and influence project-level management by serving as bioinformatics point. • Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. • Develop new collaborations with high degree of supervision. Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to bioinformatics-focused manuscripts and publications. • Regularly contribute to podium presentations and posters. • Contribute to bioinformatics sections of grant and award proposals. Required Education and Experience Required Education: Bachelor’s Degree in biological or computational discipline. Required Experience: • At least three (3) years of experience in applied bioinformatics, genomics, and computational work. • Experience with management and analysis of complex data types. • Experience with genomic/proteomic data analysis methods. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s or Doctorate Degree in biological or computational discipline Preferred Experience: • Five (5) or more years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. • Experience with Python, Perl, or other languages. • Experience with pipeline or workflow development frameworks. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred. • Ability to interact with biologists and clinicians during a scientific discussion is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to independently plan and execute analyses of moderate complexity required. • Ability to provide objective validation of results required. • Ability to work in a team environment. All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption. Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products. Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status. VEVRAA Federal Contractor/Seeking priority referrals for protected veterans. Please contact our hiring official with any referrals or questions. CHOP Careers Contact Talent Acquisition 2716 South Street, 6th Floor Philadelphia, PA 19146

ROLE DESCRIPTION – Bioinformatics Scientist Scale Biosciences (ScaleBio) is an early-stage life sciences technology company developing the next generation of single cell sequencing and analysis solutions. We are developing our patented split-pool barcoding and... combinatorial indexing technology and methods to enable single cell analysis at unprecedented scale for a broad range of applications across basic, translational, and clinical research. As a Bioinformatics Scientist you will be a technical expert in single cell data analysis within a multi-disciplinary team. We are looking for someone excited to take a new technology all the way to a suite of products; from analysis of early internal prototypes to external software that can scale to unprecedented numbers of samples and cells. Responsibilities • Design and implement analysis software for ScaleBio single cell methods • Work in an interdisciplinary team on novel single-cell assays and advance product development • Develop algorithms, models, and visualizations for huge multi-model single-cell datasets • Engage with external collaborators on the validation of new products and novel applications for very high- throughput single-cell technologies • Identify creative solutions to problems and actively participate in improving methods from the lab, through analysis to the final application. • Present projects and results to the team, customers, and the wider scientific community Experience • Advanced degree in computational biology, computer science, or related discipline; or a minimum of 4 years professional experience with genomic technology • Experience analyzing complex sequencing datasets, including gene expression or epigenetics • A track record of designing and implementing novel algorithms and analysis workflows • Experience developing software, both in scripting and compiled languages • Background in statistical and machine-learning methods for large datasets • Demonstrated ability to become an expert in new fields and work with interdisciplinary teams. • Excellent verbal/written communication and interpersonal skills, with scientist and non-scientists. Preferred Skills and Experience • Experience with single-cell sequencing technology and analysis methods • Experience with professional software development methods • Experience working with cloud computing environments • Experience developing novel sequencing-based technologies in an interdisciplinary team

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds... and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Bioinformatics team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI). The team addresses unmet needs for bioinformatics, data management, data mining and analysis across research, clinical, and operational units. It accelerates use of bioinformatics and data science methods, data, and tools within DFCI, bridging the gap between research and clinical practice and helping design and implement operational solutions. The group encompasses expertise in bioinformatics, data science and machine learning, and seeks to develop a highly interdisciplinary environment supporting DFCI research, clinical, and operational staff. The group works with some of the most prominent research and clinical DFCI programs, from basic research to translational research, to clinical diagnostics and operations. As we widen our collaborations with several crucial centers and programs at DFCI we look for an intelligent, hard-working, and dynamic individual to serve as Bioinformatics Scientist I or Bioinformatics Scientist II. The successful candidate will serve as an expert who will support some of the key initiatives relying on genomic data and who will have the ability to lead projects and potentially, in the future, lead other people within the team. Specifically the role will work on an exciting new initiative to develop a cloud-based bioinformatics analysis platform. The platform will enable DFCI researchers to easily manage and analyze their genomic and biomedical data in the cloud environment, build and run analysis workflows and visualize the results. The successful candidate will have proven experience in managing and independently executing complex bioinformatics tasks in the frame of Bioinformatics Workbench project. The role’s responsibilities will include: • Owning and leading various projects, serving as a subject matter expert. • Developing and implementing bioinformatics tools and pipelines in cloud environment. • Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors. • Meeting, consulting and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects. • Collecting, analyzing, interpreting, and integrating complex biomedical data. • Delivering results for projects and generating relevant reports. • Working as a part of the broader team to identify and implement longer-term solutions that will improve quality, speed and efficacy of our current projects and programs through evaluating and benchmarking new software tools and pipeline development. • Contributing expertise to DFCI software code base and communities of practice. • MS or PhD (preferred) with evidence of impact in bioinformatics applied to real life problems, ideally within a biomedical research or clinical environment. Exceptional BS candidates could also be considered. • 3+ years of experience in basic, translational or clinical research setting required. • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems. • Experience in analysis of the next generation sequencing data, e.g. DNA-Seq, RNA-Seq, ChIP-Seq, etc; experience in single-cell data analysis is a plus. • Substantial experience in one or more areas of cancer research, including solid tumors, hematologic malignancies, patient-derived cancer models, biomarker discovery, etc. is a major plus. • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply

Summary This role can be remote, hybrid or onsite... The Human Genome Sequencing Center (HGSC) provides a unique opportunity to gain experience working with high-throughput clinical genomic data in an academic research environment, with opportunities for publication, conference travel and international scientific collaboration. As a member of the NGSI Clinical Informatics team, you will directly contribute to the HGSC’s pioneering work in Mendelian genomics and multiple NIH-funded Precision Medicine initiatives. You will collaborate with teammates to develop software and pipelines to expand the types of variants detectable with our clinical sequencing pipelines as well as tools for tertiary analysis of variants, including clinical classification. This position requires a high-performing programmer with demonstrated exceptional communication, organization, and time-management skills to assist in building and operating these pipelines. Job Duties You will apply existing custom bioinformatics software to both well defined and complex genome analysis problems. Design, implement, test, debug, and maintain software for genome sequence analysis applications. Evaluate the suitability of new software tools for our production pipeline. You will advise on hardware and software decisions related to efficient application of implemented software. You will invest in colleagues development by mentoring and training them as well as providing technical guidance. Minimum Qualifications Bachelor’s degree in Computer Science, Biological Science, or a related field. Three years of relevant experience. Preferred Qualifications The ideal candidate will have a background in biology, clinical lab, and/or bioinformatics with computational experience. Master’s degree in a related field. Bonus, have experience with some of the following: Software Engineering AWS / Cloud services including cloudformation, batch, lambda, SNS, ECR, DynamoDB CAP/CLIA Documentation High Performance Compute Environment (e.g., moab, PBS) Software testing NGS sequence analysis tools (e.g. BWA, Samtools, bedtools, Dragen) Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer

The bioinformatics team in the VI NEXT team at Regeneron focuses on interfacing cutting-edge computational biology methods with research and technology development in multiple disease-related fields, including immuno-oncology, neurological disorders, and RNA therapeutics. We are seeking a motivated, PhD-level scientist who is passionate about computational biology and multi-omic data analysis to... probe different aspects of disease and therapeutic avenues in the field. The scientist will explore diverse datasets and closely participate in cross-functional collaborations for multidimensional cell profiling, therapeutic target discovery, biomarker identification, and therapy design. As an Associate Scientist on VI Next, a typical day might include the following: • Developing, tailoring and optimizing computational methods for high-throughput analysis of multi-faceted NGS technology generated datasets, including single cell and bulk multi-omic sequencing data; • Working closely with web lab collaborator teams for data processing, analysis, interpretation and visualization to support research in multiple stages spanning discovery and pre-clinical studies. This role might be for you if: • You are self-motivated and conduct research independently and collaboratively on a team. • Have a passion for learning and exploring new fields. • You have highly effective communicative skills To be considered for this opportunity, candidate must have a PhD in one of the following fields: Computational Biology, Systems Biology, Bioinformatics, Computer Science, Molecular Biology, Immunology, Cancer Biology, Neurobiology, RNA Biology, or other related fields. Title will be commensurate with experience. Proficiency in one of the programming languages, such as R, Python, Perl, and Linux. Hands-on experience with NGS data analysis; experience with single cell data analysis is a plus. Collaboration experience with wet lab scientists, or experience with wet lab work, or knowledge in one of the following: Molecular Biology, Immunology, Neurobiology, RNA Biology or related fields is a plus. Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides amazing benefits including health and wellness programs, fitness centers and stock for employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need

Summary W e are seeking a talented laboratory informatics scientist to join Pfizer's BioMedicine Design organization located in Cambridge, Massachusetts. The successful candidate will join a small team of computational biologists and software engineers to develop a broad array of fit for purpose computational and database tools in support of cutting-edge approaches to early stage biotherapeutic... discovery. Areas of active research include monoclonal antibodies, protein therapeutics, gene therapy, and mRNA-based therapeutics. ROLE RESPONSIBILITIES • Designing, developing, and maintaining applications to enable capture and analysis of data to accelerate discovery and enable decision making that drives biotherapeutic projects across a broad range of disease areas. • Working within a team of laboratory scientists, data scientists, and internal and external software developers to rapidly specify, implement, and deploy fit-to-purpose software tools. BASIC QUALIFICATIONS • Ph.D. or BA/MS+3-5 years post graduate experience in Bioinformatics, Biochemistry, or related field; or in Computer Science with a focus on biological or pharmaceutical sciences. • Background in molecular biology, biochemistry, or a related field ideally with an understanding of basic biotherapeutic discovery. PREFERRED QUALIFICATIONS • Strong software engineering skills including object-oriented programming and full stack web application development including javascript, css, and html. • Understanding of relational database technology and competence with SQL. Ability to design relational schemas to represent real-world data. Ability to design complex queries to generate clear representations of data from complex relational schemas. • Ability to design easy to use intuitive user interfaces. • Strong interpersonal skills and an ability to work effectively with a broad range of scientists across multiple disciplines Other Job Details • Eligible for Employee Referral • Last Day to Apply: March 10, 2022 Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Research and Development