Bioinformatics Jobs

At Bristol Myers Squibb, we are inspired by a single vision transforming patients lives through science. In oncology, hematology, immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a... difference. We are seeking an innovative scientist to join our Bioinformatics Methodology team in the Translational Bioinformatics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibbs industry-leading pipeline in multiple therapeutic areas (including Immuno-Oncology, Cardiovascular, Fibrosis, and Immunoscience) through the strategic application of cutting-edge bioinformatics approaches. The scientists in this group design experiments and analyze both pre-clinical and clinical -omics data sets, including RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry in order to nominate novel drug targets, enable patient enrichment strategies, and guide drug development decisions. The group interacts with and influences all aspects of R&D at BMS, from early discovery through late-stage development. Responsibilities • Collaborate closely with others on translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data • Influence best practices in areas such as causal inference, large-scale inference, building and assessing predictive models, analyzing biological networks, visualizing -omics data, and NGS data normalization and analysis • Provide expertise in state-of-the-art statistical methods for data exploration, visualization, and analysis while both advising colleagues and performing hands-on work Qualifications: • Ph.D. in statistics, biostatistics, or closely-related field required • 8+ years relevant experience preferred • Solid grounding in statistical theory and familiarity with recent developments in statistics • Skilled at working with large data sets • Expertise in large-scale or causal inference, resampling methods, modern classification and regression, analysis of longitudinal data, predictive model development and assessment, and statistical graphics and programming • Familiarity with Bayesian statistics, semi- and non-parametric estimation and inference, survival analysis, multivariate methods, and design of experiments • Working knowledge of biology • Familiarity with statistical genetics and genomics and clinical trial design and analysis is a plus • Experience analyzing and interpreting NGS data is a plus • Fluency with Linux-based high-performance computing environments, R/Bioconductor, and reproducible research practices • Strong problem-solving and collaboration skills, and rigorous and creative thinking • Excellent written and oral communication skills, including an ability to discuss and explain complex ideas with computational scientists, experimentalists, and clinicians • The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization. • Enjoy collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture. To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S. Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations

Responsibilities: • You will be responsible for all aspects of bioinformatics analysis for transcriptomics and other specialized NGS experiments including quality control, differential gene expression, and pathway enrichment. • You will work closely with a senior computational biologist to ensure smooth communication across teams and timely delivery of results... • You must have previous experience in gene expression analysis, be comfortable using R to do data analysis, and have excellent communication skills. Required Skills: • Proficient in using R to do basic data analysis (processing, plotting...) • Differential gene expression statistical testing • Ability to communicate results to scientists with broad range of expertise • Familiarity with basics of statistical modeling • Comfortable working with NGS data (mostly short read technology) Bioinformatics,SAS,R,NGS

ABOUT GREENLIGHT At GreenLight we are working to solve two of the world's greatest problems: global food insecurity and equal access to vaccines and the associated health benefits. Unlike most corporations who can be required to put profits ahead of other principles, GreenLight is one of the first Public Benefit Corporations to be publicly traded and have a charter that requires a focus on how... it benefits its employees, community and society and has a broad portfolio addressing key issues in plant health and human health (Nasdaq: GRNA) by leveraging the full potential of dsRNA and mRNA. The GreenLight team is over 300 people across our headquarters in Medford, MA, an R&D facility in Woburn, MA and an R&D facility in Research Triangle Park, NC. GreenLight also has a biomanufacturing plant in Rochester, NY. Initiatives include finding ways to support biodiversity, protect bees and other pollinators, treat rare diseases as well as develop vaccines. At GreenLight, we believe inclusion is the way forward. We celebrate the power of working together to address humanity's challenges, meet the needs of underserved populations, and push the boundaries of scientific discovery. Fueled by our aspiration for a true sense of belonging, our talented teams embody the principles of diversity and equality as we strive to bring food security, medicine, and healthcare to everyone—paving the way for a sustainable future. For more information, visit www.greenlightbio.com. POSITION SUMMARY GreenLight Biosciences is seeking an impactful and collaborative Bioinformatics Team Lead to contribute within our Data Science and Bioinformatics team. You will drive the partnership with, and deliver on key objectives for, our Plant, Animal and Human Health teams. In this role, the Bioinformatics Team Lead is expected to lead a small team of cross-functional PhD-level Bioinformatics scientists delivering analyses and insights across both platforms. The ideal candidate is an organized, hands-on technical leader with demonstrated experiences in leading small teams of bioinformatics/computational biology scientists in academia or the biotech industry. Strong bioinformatics-focused project and stakeholder management, as well as interpersonal and technical communication skills, are essential. MAJOR RESPONSIBILITIES • Lead the design and execution of automated bioinformatics workflows and novel algorithms to derive actionable and novel biological insights/conclusions from a variety of biological data sets • Lead a team of Bioinformatics Scientists partnering with Human, Plant and Animal Health teams. Shepherd communication with partners on project deliverables and timelines • Closely partner with Plant, Human and Animal Health teams to deliver value-creation through bioinformatics analyses • Design and implement data processing models to large-scale multi-omics eukaryotic datasets (RNA, Protein) by combining existing public and commercial tools, with innovative custom solutions • Take ownership of maintaining and updating in-house bioinformatics algorithms as stakeholder needs evolve • Drive the translation of data into actionable biological insights, with intuitive visualizations and effective communication, to a wide variety of stakeholders • Continuously align with manager on project priorities for self and team, and with peers on best practices for delivering data solutions • Lead and motivate team members, providing mentorship/training, setting goals, supervising progress, and year end performance evaluation • Contribute directly to novel scientific innovations in the bioinformatics and larger domains • Ensure software development standard methodologies are followed and maintain accurate documentation PREFFERED QUALIFICATIONS / REQUIREMENT • PhD in Bioinformatics, Genomics, Agriculture, Computational Biology or a related biological computation field • >=5 years of post-PhD work experience • Domain expertise in a biological kingdom (Mammals, Insects, Fungi, Plants) is a must (More than one kingdom is a Plus) • >=1 year(s) of managing a team of Bioinformaticians/Bioinformatics Scientists • Demonstrated experiences in programming with Python and R for biological datasets • Demonstrated experience utilizing next generation sequencing data with bioinformatic tools or pipelines to achieve scientific outcomes • Excellent communication and interpersonal skills to translate biologists/project team's scientific questions into analytical strategies and methods • Strong experiences communicating with stakeholders and peers on project priorities, deliverables etc. in formal and informal settings • Strong experiences managing self and team workload through structured operations with the objective of delivering on time across multiple projects • Experience leveraging a wide variety of public and custom-developed bioinformatics tools and datasets to build/support hypothesis • Solid, demonstrable experience developing algorithms for solving biological problems. A biology-centric and data-oriented thought process. • Demonstrated ability to present complex results, both verbally and in writing, to bioinformatics and non-bioinformatics audiences of all levels is critical • Must be independently driven, results-oriented and a quick learner • Must maintain a HIGH level of ownership and see assignments through to completion based on agreed upon deadlines • Must possess learning agility, scientific curiosity with a problem-solving mindset, organizational skills, and an enthusiastic, collaborative spirit • Exceptional candidates would have Industry experience, and strong domain knowledge in RNAi mechanisms, Molecular Biology, and Gene Expression regulation and Bioinformatics • Demonstrated experiences in innovating in the scientific domain • Experience with reproducible code frameworks such as JIRA, Trello, Confluence and GitHub, and workflow management systems like snakemake • Experience with high-performance computing environments including cloud infrastructures such as Azure, AWS or Google Cloud (Azure preferred) • Experience with Project Management (Courses or certifications) Greenlight Biosciences Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. GreenLight requires proof of COVID-19 vaccination for its employees

POSITION SUMMARY The Simons Foundation is seeking a Bioinformatics/Senior Bioinformatics Engineer (dependant upon experience) to develop and support whole exome and genome sequence data analysis pipelines in both research and operational modalities. This position will report to the Director of Data and Analytics in the informatics group and will work with other engineers and analysts in the... informatics group, as well as with clinical and basic research teams at the foundation. This position will be based in Simons Foundation’s offices in New York City.ESSENTIAL FUNCTIONS/RESPONSIBILITIES Design, develop and operate computational pipelines for next-generation sequencing data Work on both large-scale projects and small custom tasks that span a wide variety of analysis problems Develop new and/or improve upon existing algorithms for variant detection (SNPs and indels) and structural variant detection (CNVs, inversions and translocations) for clinical research purposes Develop and maintain a knowledge base of variants and annotations discovered in processing of samples MINIMUM QUALIFICATIONSEducation Master’s degree or higher in bioinformatics, computational sciences or related field. Required Attributes At least 3+ years’ work experience in research-and-development setting in bioinformatics Experience with next-generation sequencing data Experience in Linux/Unix cluster environment Advanced programming skills in Python Strong background in algorithm development, statistical methods, machine learning and distributed computing. Extensive knowledge of computational genomics and experience with high-throughput data analysis Outstanding personal initiative and the ability to work effectively as part of a team Excellent verbal and written communication skills Desirable Experience Familiarity with C++, Perl, Matlab and R is desirable. Familiarity with databases – relational and noSQL – cloud computing and web services is desirable. The Simons Foundation’s Diversity CommitmentMany of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment.The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply.We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. PI183190300

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for... patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world- changing projects, you will do more and become more than you ever thought possible. The Sr. Bioinformatics Support Scientist position is responsible for all aspects of customer success. This role is a field-based service and support role tasked with assisting customers on ultilizting Illumina technology and software products, with a focus on Data Sciences and applications. The successful applicant will be part of an award-winning customer support team that leads the industry in customer satisfaction. The Sr. Bioinformatics Support Scientist partners with customers, front line field personnel, and internal resources to provide pre-sales support, technical training, troubleshooting, and complaint resolution with respect to Illumina data, instruments, and bioinformatic solutions as well as experimental and workflow design. This position serves as a scientific and technical expert consultant during pre- and post-sales activities, and an consultant to development. This position will collaborate with broader commercial and product teams to maximize customer satisfaction and to improve software product adoption. This role requires expert-level troubleshooting, communication, time management, situational awareness, poise under pressure, and collaboration. You will be expected to build and maintain strong relationships with internal and external stakeholders across the region including Sales, Service and Support teams, and customers as well as Marketing and Product teams. Responsibilities • Consult on complex pre-sales engagements in partnership with Illumina sales personnel, including evaluation support, discussions on bioinformatics and data analysis, and helping customers design analytic workflows. • Engage with customers in post-sales contexts to ensure successful adoption and implementation of Illumina bioinformatics products, platforms, and workflows. • Troubleshoot complex customer complaints related to Illumina's bioinformatics portfolio and other analytical challenges involving genomics data. • Provide customer facing trainings on Illumina’s bioinformatics portfolio and general bioinformatics approaches to analytical challenges. Train and develop AMR support team skillsets in bioinformatics and Illumina software portfolio. • Provide voice of customer feedback to internal groups including marketing and development to improve current and upcoming products. • When needed, travel to customer sites to provide training, troubleshooting, or consultation support for sales or support teams. Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs. Requirements • Typically has a minimum of 5+ years of experience in a similar position including general experience in Life Sciences or Genomics industries.. • Advanced degree in Life Sciences or Computational fields (e.g. Bioinformatics, Computer Sciences, Molecular Biology). Experience in Next Generation Sequencing preferred. • Strong knowledge of genomics, sequencing applications, and methods that apply to Bioinformatics and Illumina technology. Broad interest and knowledge in science and technology in Genomics. • Prior field experience supporting customers in a highly technical field preferred. • Demonstrated expertise and experience with commonly-used data analysis software applications and bioinformatics tools and programs, including those used for Next Generation Sequencing required. Experience with Illumina's bioinformatics portfolio preferred. • Excellent skills in data analysis. Demonstrated experience using bioinformatics or analytics to solve complex scientific or technical challenges. • Fluency in at least one scripting/programming language (e.g. Python, Perl, R, etc.) commonly used in bioinformatics pipelines required. • Linux fluency required, and experience with cloud environments preferred. • Proven ability to resolve complex issues while maintaining positive customer relations and communication. • Exceptional written and verbal communication and excellent presentation and training skills. • Must be willing to travel up to 30% All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. Concerns regarding COVID-19 continue as positive cases are experienced in the communities in which we operate. Please be aware that, as a condition of employment, Illumina may require proof of COVID vaccination in accordance with local statutory requirements (subject to limited exceptions) beginning November 1, 2021. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued patients and employees. With over 20,000 employees, we are committed to continuing our growth with... the best professionals in the healthcare industry. We invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. Job Summary The Bioinformatics department is looking to add a Computer Programmer III to the team. This will be a hybrid work model position with time spent working both remotely and on campus. Job Duties • Determines best means of solving complex problems, performing original design analysis for methods of solution. • Utilizes knowledge of systems to assist in defining problems, run requirements, and time and form charts. • Develops general and detailed flow-charts, tables, and diagrams required for programming projects. • Writes programs in appropriate (interpretive, compiler, or assembly) language and documents procedures used throughout each program. • Develops controls and initiates tests to verify system integrity. • Optimizes and improves performance of programs and subsystems. • Coordinates program development with users, advising them and programmers of lower grade relative to use of special programs and techniques. • Provides working supervision to computer programmers and computer programming assistants of lower grade. • Performs other duties as assigned. Experience and Education High school graduation or GED plus successful completion of vocational training in computer programming and five (5) years experience in computer operation and/or programming, including at least one (1) year as Computer Programmer II or equivalent. To learn more about the benefits UT Southwestern offers visit https://www.utsouthwestern.edu/employees/hr-resources/ For COVID-19 vaccine information, applicants should visit https://www.utsouthwestern.edu/covid-19/work-on-campus/ This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of: race; color; religion; national origin; sex; including sexual harassment; age; disability; genetic information; citizenship status; and protected veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression

Description The Salomonis lab within Biomedical Informatics develops new integrative solutions for single-cell and bulk genomics assays with an emphasis on understanding cellular heterogeneity in healthy tissue systems and disease. This includes various computational approaches for single-cell transcriptomics and multimodal analysis. The Bioinformatics Analyst works in close collaboration with... our experimental collaborators on multiple inter-connected projects to identify novel transitional cell-states in stem and progenitor populations, develop computational strategies to isolate cell populations CITE-Seq (single-cell transcriptomes with surface-linked antigen expression), track cells during differentiation, dissect underlying gene regulatory networks using multi-omics and multimodal single-cell approaches, evaluating and improving existing computational approaches and working with a team of analysts and biology domain experts to create new molecular models of development and disease, with an emphasis on immunobiology and cancer. The ideal candidate will have significantly contributed to prior publications, demonstrated "out-of-the-box" thinking, excellent communication skills, demonstrated research independence, and excellent programming experience. REPRESENTATIVE RESPONSIBILITIES • Perform data analysis for research projects: Work collaboratively with research groups for the analysis of single-cell and bulk transcriptome datasets. Perform quality control, sequence alignment, gene and splicing statistical analyses and functional regulatory from next generation sequencing experiments. Integrate datasets across from different patients, disease states and across species. Evaluate the contribution of complex biological or technological covariates from large-scale genomic results (e.g., batch effects, sex). Evaluate results at the gene, pathway and systems-level, integrating detailed biological knowledge at different steps in the analysis. Apply statistical analysis or machine learning analysis methods. Customize data visualization results using existing software toolkits (e.g., R, python). Prepares manuscript materials for publications and reports about research projects for presentation at scientific meetings. • Informatics operation: Applies existing software to support sequence alignment, inter-sample comparison, algorithm evaluation, data management, data retrieval, and web access. Document standard operating procedures based on best practice. Experience working with complex metadata and data/results documentation (provenance). Assists in developing tools to support unsupervised sample and gene heterogeneity analyses. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Helps to maintain computational infrastructure and control the flow of samples and information for studies. Works closely with Biomedical Informatics department to leverage system, software and knowledge efficiencies. • Teamwork: Guides and advises less-experienced staff. Trains and supports staff, residents, fellows, and technologists. Communicate results outside of CCHMC. For specific questions, please contract Dr. Nathan Salomonis at nathan.salomonis@cchmc.org or visit his website: (https://www.cincinnatichildrens.org/research/divisions/b/bmi/labs/salomonis) Qualifications EDUCATION/EXPERIENCE Required: •Master's degree in a related field • 2 - 5 years of work experience in a related job discipline • Experience with diverse genomics data type (RNA-Seq, genome-sequencing, ATAC-Seq) • Experience programming in Python and cluster-compute environments • Background in statistics and/or software development and/or Machine learning/API

Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care and resources for the community. With a career at UT Southwestern, you will be a key part of our research within the Department of... Bioinformatics with opportunities to be part of the cutting-edge research projects. We invite you to be a part of the UT Southwestern team where you’ll discover a culture of teamwork, professionalism, and a rewarding career! Job Summary The Jeon Lee laboratory at the University of Texas Southwestern Medical Center is welcoming applications for a computational biologist position in multi-omics data analysis. The research focuses on analyzing metabolomics, proteomics, and transcriptomics data, and integrating those analysis results to better understand critical biological processes and to discover biomarkers in order to answer important scientific questions, especially in cancer biology and brain science. Successful applicants will be capable of analyzing mass-spec data, bulk RNA-seq data, and single-cell RNA-seq data, having deep understandings in related statistics and computation algorithms. Job Duties • Manage research laboratory computer hardware and software programming and maintenance. • Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary. • Perform complex data analysis related to specialized research methodologies and results as assigned by the PI. • Develop and/or modify software to support new and ongoing research projects. • Resolve hardware, software, and network issues in support of the lab. • Develop and maintain complex databases to support new and ongoing research projects. • Train laboratory staff in the use of pertinent research systems. • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. • Perform other duties as assigned. Experience and Education • Master’s degree in Computer Science or a related field of biological science. • Bachelor’s degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology. To learn more about the benefits UT Southwestern offers visit https://www.utsouthwestern.edu/employees/hr-resources/ For COVID-19 vaccine information, applicants should visit https://www.utsouthwestern.edu/covid-19/work-on-campus/ This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of: race; color; religion; national origin; sex; including sexual harassment; age; disability; genetic information; citizenship status; and protected veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and... make a difference. We seek a talented, collaborative inter-disciplinary computational scientist to work on the analysis, statistical modeling and generation of hypotheses from high-dimensional molecular profiling data. This individual will play a key scientific role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions alongside BMS colleagues in our Informatics & Predictive Sciences department and in collaboration with internal partners in the translational medicine research team. Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, and data analysis methods; working with clinical and large-scale omics data and biomarker data sets that could include WES, RNA-Seq, scRNAseq, IHC, flow cytometry, ChIP-seq, and ATAC-seq from BMS’s industrial-leading late stage oncology clinical studies; influencing development strategies and advancing BMS late stage oncology pipeline. This position offers the exciting opportunity to make major contributions to scientific knowledge of cancer disease biology, and to directly impact treatment of cancer patients. The position would suit an individual with strong biological and computational capabilities and excellent communication and collaboration skills. Applications are encouraged from those involved in innovative translational research for oncology indications in clinical or industrial research environments. The role offers the opportunity to impact directly the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need. Responsibilities • Perform analysis of epigenomic datasets (e.g., ChIP-seq, ATAC-seq) to inform new target and early pipeline strategies. • Perform analysis of clinical and biomarker datasets (e.g., large-scale -omics datasets including RNASeq, and Whole Exome/Genome Sequencing) and derive clinically meaningful interpretations. • Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistances to treatments of interest. • Summarize analysis results and report conclusions to BMS decision-making bodies; help communicate conclusions to regulatory agencies and the broad scientific communities. • Evaluate and adapt latest scientific findings and methods into bioinformatics analysis plans. Qualifications: • Ph.D. with 2+ years of experience in computational biology, bioinformatics, statistics or related fields. • Experience in biotech or pharmaceutical industries is a plus. • Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices. • Experience with epigenomic datasets including ChIP-seq and ATAC-seq. • Experience working with a variety of Next Generation Sequencing datasets, including Whole-Genome, Whole-Exome Sequencing. • Deep understanding of disease biology in oncology. • Familiarity with contemporary cloud and high-performance computing environments. • Expertise in application of contemporary machine-learning/AI approaches. • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies. • Strong problem-solving and collaboration skills, rigorous and creative thinking. • Excellent communication, data presentation, and visualization skills. • Fluent written and verbal English language communication. Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture. To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S. Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations

The Knowledge Systems Group (KSG) at Dana-Farber Cancer Institute is seeking an experienced Bioinformatics Data Manager to spearhead multiple bioinformatics “big data” projects. The role is primarily focused on making standardized genomic and clinical data sets available to the scientific community via open-access, open-source platforms. The Knowledge Systems Group (KSG) is an applied... bioinformatics group focused on developing open-source platforms for cancer genomics research and precision cancer medicine. We are computational biologists, software engineers, and project managers, all united in using our skills to make a difference in cancer patients' lives. We support several projects, including the NCI Human Tumor Atlas Network (HTAN), the Cancer Immunologic Data Commons (CIDC), and the cBioPortal for Cancer Genomics. We also support DFCI’s institutional clinical sequencing and precision cancer medicine initiatives. 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. As the Bioinformatics Data Manager, you will be responsible for: • Consulting with external stakeholders to understand and define consortium requirements regarding data access, data analysis, and data sharing. • Understanding new genomic assays and defining new data standards. • Understanding and defining clinical data standards, and creating clinical data mappings for harmonized clinical data sets. • Translating consortium requirements into well-defined project specifications for handoff to software engineering team. • Integrating and harmonizing data sets in preparation for cross-trial and cross-cancer analysis. • Working with data producers and ensuring the transfer of new, standardized data sets into cloud-based data sharing platforms. • Strong background and interest in cancer genomics. • Strong background and interest in open access science. • MS or PhD in bioinformatics or computational biology. • Experience developing genomic and clinical data standards and ontologies. • Experience managing genomic assay data, including single cell RNASeq and multiplex imaging. • Experience managing complex bioinformatics projects, including stakeholder management, and ability to multitask multiple project deadlines. • Working experience with data sharing platforms, including dbGAP or NCI Cloud Resources. Due to COVID-19, KSG is currently in hybrid mode, with most members working remotely, but some members working on site 2-3 days / week. For this position, we are open to remote/hybrid workers in Massachusetts, New Hampshire or Rhode Island. 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