Bioinformatics Jobs

The Molecular Profiling and Data Science Department at Regeneron is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative work environment. You will lead algorithmic development and bioinformatic efforts that help the Regeneron Genetics Medicines group create next generation therapies in gene editing, gene suppression, gene... expression, and gene insertion. In this role, you will work on projects that use cutting-edge technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will design synthetic cell type-specific promoters and analyze RNA-seq and other omics data to characterize our therapies. Our department consists of computational scientists with backgrounds ranging from genomics to machine learning, as well as wet-lab NGS technology developers with plenty of sequencing capacity. Beyond our group, you will collaborate closely with scientists in Regeneron Genetics Medicines and other departments to create genetic therapies in a wide range of disease areas, including hemophilia, lysosomal storage disorders, metabolic diseases, and hearing loss, that directly impact the lives of patients. As a Sr. Scientist, Bioinformatics, a day might include the following: • Developing algorithms using concepts in transcriptional regulation, synthetic biology, and machine learning to design new promoters in AAV payloads for cell type- and tissue-targeted expression. • Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response. • Building tools to characterize RNA transcripts using long-read sequencing. • Discovering new nucleic acid modifying enzymes by mining metagenomic datasets. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. • Contributing to regulatory submissions. • Publishing and presenting novel findings in patents, conferences, and peer-reviewed journals. This Job Might Be For You If You • Want to contribute to the advancement and design of next generation genetic therapies and help shape computational tools used by a rapidly growing part of the company. • Have a strong computational background and enjoy creating new methods. • Like working at the interface between computation and experiments. • Like diving deep into data, including analyzing raw NGS reads. • Have a curious mindset, pay strong attention to detail, and challenge conventional wisdom. • Can effectively communicate with collaborators from various backgrounds and value teamwork. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, Bioengineering, or related quantitative fields. You must also have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with developing new computational methods, and have a strong background (3+ years) in R and/or Python. Previous experience or familiarity with NGS technologies and experimental wet-lab molecular biology is highly desirable. Familiarity with a Linux environment, shell scripting, and high-performance computing clusters is a plus. Experience with machine learning on biological problems is also highly valued. #RGM 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 comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible 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 parental 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. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $103,600.00 - $169,000.00 R20966

As stated in the Land O'Lakes Job Posting policy, all employees who post for an internal opening must inform their current manager at the time they apply. ​ Our growth relies on our extraordinary talent. Unlock your greatest potential at Land O'Lakes by continuing to make a difference, driving results and growing your career... Bioinformatics Data Scientist Bioinformatics Data Scientist As a Bioinformatics Data Scientist, you will work closely with a multi-functional team made up of animal science experts and researchers who collaborate and develop innovative products by using cutting-edge bioinformatics, machine learning, and microbiome engineering technology. Location: This role is remote (virtual) and can work anywhere in the United States. ROLES AND RESPONSIBILITIES: Own and drive bioinformatics roadmap, vision, and strategy for the Purina Extensive analysis of microbiome data Contribute to the development of the existing bioinformatics pipeline for managing, and statistical analysis of microbiome data Design, develop and implement data pipelines, AI/ML algorithms to provide end-to-end bioinformatics solutions for researchers Develop innovative and advanced statistical models to interpret diverse microbiome studies Collaborate with scientists doing microbiome research in diverse areas of animal science Stay abreast with advances in the bioinformatics field related to microbiome and other -omics analysis SKILLS AND EXPERIENCE: Ph.D. in Bioinformatics, Computational Biology or related scientific field Fluent in Python, R, and Perl or similar languages Extensive understanding of NGS data analysis including RNA-seq and GWAS Experience analyzing microbiome and -omics data Good understanding of bioinformatics packages/platforms such as Qiime2, Pycrust and Mothur Experience with genomic pipeline development Strong statistical background Familiar with cloud computing Ability to work independently and collaboratively Salary $99,520-$149,280 Grade: E13

About City of Hope City of Hope's mission is to deliver the cures of tomorrow to the people who need them today. Founded in 1913, City of Hope has grown into one of the largest cancer research and treatment organizations in the U.S. and one of the leading research centers for diabetes and other life-threatening illnesses. City of Hope research has been the basis for numerous breakthrough cancer... medicines, as well as human synthetic insulin and monoclonal antibodies. With an independent, National Cancer Institute-designated comprehensive cancer center at its core, City of Hope brings a uniquely integrated model to patients spanning cancer care, research and development, academics and training, and innovation initiatives. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. City of Hope’s affiliated group of organizations includes Translational Genomics Research Institute and AccessHopeTM. For more information about City of Hope, follow us on Facebook, Twitter, YouTube, Instagram and LinkedIn. City of Hope’s commitment to Diversity, Equity and Inclusion We believe diversity, equity and inclusion is key in serving our mission to provide compassionate patient care, drive innovative discovery, and advance vital education focused on eliminating cancer and diabetes in all of our communities. Our commitment to Diversity, Equity and Inclusion ensures we bring the full range of skills, perspectives, cultural backgrounds and experiences to our work -- and that our teams align with the people we serve in order to build trust and understanding. We are dedicated to fostering a community that embraces diversity - in ideas, backgrounds and perspectives; this is reflected in our work and represented in our people. Position Summary The collaborative research in Bild and Nath labs focuses on translational cancer systems biology. The overarching goal of our labs is to develop and validate effective treatment strategies against drug resistant tumors. We are seeking a talented and motivated Bioinformatics Staff Scientist to join our dynamic team. As a Bioinformatics Staff Scientist, you will play a key role in analyzing and interpreting complex biological data, integrating multi-omics datasets, and developing innovative computational methods to extract meaningful insights. Your work will contribute to advancing our understanding of diseases, identifying potential therapeutic targets, and facilitating the development of personalized medicine approaches. Responsibilities: · Perform bioinformatics analysis on high-throughput genomic and transcriptomic data. · Develop and apply computational algorithms and statistical models for data analysis and interpretation. · Integrate and analyze multi-omics datasets to identify patterns, correlations, and potential biomarkers. · Collaborate with cross-functional teams including biologists, mathematicians, and medical oncologists to design and execute bioinformatics projects. · Stay up to date with the latest advancements in bioinformatics and genomics research. · Contribute to the development of data analysis pipelines and software tools. · Present findings and results to internal teams and external stakeholders in a clear and concise manner. · Publish research outcomes in scientific journals and present at conferences. Basic education, experience and skills required for consideration: · Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field. · Strong expertise in analyzing next-generation sequencing (NGS) data. · Proficiency in programming languages such as Python, R, and/or Perl. · Experience with bioinformatics tools and databases (e.g., NCBI GEO, Ensembl, UCSC Genome Browser). · Knowledge of statistical methods and data mining techniques for large-scale genomics data analysis. · Familiarity with machine learning (AI/ML) algorithms and their applications in bioinformatics. · Excellent problem-solving skills and the ability to work independently and in a team-oriented environment. · Strong communication skills with the ability to present complex data and concepts effectively. Preferred Qualifications: · Experience with single-cell RNA sequencing (scRNA-seq) data analysis. · Knowledge of cancer genomics and oncology research. · Familiarity with cloud computing platforms and big data analysis frameworks. · Demonstrated track record of publications in reputable scientific journals. Additional Information: · For more information about Dr. Andrea Bild’s lab, please visit here. · The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time. · As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates. City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability. #PD

Overview The Laboratory of Dr. Hongbo Chi in the Department of Immunology at St. Jude Children’s Research Hospital is seeking a highly motivated Bioinformatics Analyst to lead the analysis of multi-omics studies in molecular and systems immunology and immuno-oncology. We are particularly interested in understanding the metabolic programs, signaling pathways and systems-level regulatory networks... in basic T cell and dendritic cell biology and antitumor immunity. The Chi Lab is recognized for its expertise in investigating immunologic mechanisms underlying cancer and other diseases, with a track record of publications in top-tier journals such as Nature, Cell, Nature Immunology, Immunity, Nature Cell Biology and Cell Metabolism. Please see the following articles published over the past few years for additional information: Nature Reviews Immunology (2022); Immunity 55:14 (2022); Nature Chemical Biology 18:470 (2022); Nature 607:135 (2022); Nature Cell Biology 24:1642 (2022); Nature 600:308 (2021); Nature 595:724 (2021); Nature 591:306 (2021); Cell 184:1245 (2021); Nature Reviews Immunology 20:55 (2020); Cell Metabolism 32:996 (2020); Nature 565:101 (2019); Nature 576:471 (2019); and Nature 558:141 (2018). In this position, the candidate will perform cutting-edge computational analyses of multi-omics datasets derived from immune and other (e.g. tumor) cells. The candidate will work closely with other lab personnel including systems immunologists. These efforts will involve highly integrative studies consisting of comprehensive bulk and single-cell omics datasets, including RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, proteomics, and CRISPR screening. A deep understanding of immunology, genetics or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis is critical for this position. This individual is expected to have the capacity to execute proficient computational analyses and troubleshoot independently, to communicate effectively with the PI, scientists, postdocs, and other collaborators, and to thrive in a highly collaborative team environment. Take advantage of this opportunity to leverage your skills in bioinformatics and help save lives of children from all around the world! This position is an on-site job located in Memphis, TN, and relocation assistance is available. Minimum Education • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree preferred. Minimum Experience • Minimum Requirement: 2+ years of relevant experience required. • Experience Exception: Master's degree and no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. • Experience in next-generation sequence analysis or imaging analysis is preferred. • Experience in working with high-throughput data sets in a highly competitive environment is preferred. • Experience in working in a team project is preferred. • Cross training in biological sciences (e.g. genomics, immunology, transcriptomics and epigenetics) is preferred. • Scripting experience using a statistics package such as R is preferred. Other Information St. Jude is an Equal Opportunity EmployerNo 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.COVID-19 vaccine: St. Jude Children’s Research Hospital has mandated the COVID-19 vaccine for all employees, excluding those with an approved medical or religious accommodation, as a condition of employment. 50276

Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. 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. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

EPM Scientific are currently searching for a senior bioinformatics scientist for a leading biotech company in the Massachusetts area to join a broader team of scientist on a number of exciting projects. Responsibilities... • Analysing, developing and integrating visualisation of data • Collaborate with the team to develop machine learning models interrogating high-throughput transcriptomics data to identify novel matters for new RNA targets. • Contribute to the further enhancement of the Data Science platform and infrastructure • Identify biomarkers and disease indications for novel RNA-targeting compounds. Requirements • Ph.D. degree in bioinformatics, computational biology, computer science, data science or related field • +3 years post-grad experience • Strong programming experience with Python and R and comfortable using data packages such as pandas, numpy, etc. • Strong experience with machine learning frameworks such as Tensorflow is preferred. • Knowledge in the area of cancer and biology is preferred. • Proficient in managing multiple projects simultaneously. +16462334607

The Molecular Profiling and Data Science Department at Regeneron is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative work environment. You will lead algorithmic development and bioinformatic efforts that help the Regeneron Genetics Medicines group create next generation therapies in gene editing, gene suppression, gene... expression, and gene insertion. In this role, you will work on projects that use cutting-edge technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will design synthetic cell type-specific promoters and analyze RNA-seq and other omics data to characterize our therapies. Our department consists of computational scientists with backgrounds ranging from genomics to machine learning, as well as wet-lab NGS technology developers with plenty of sequencing capacity. Beyond our group, you will collaborate closely with scientists in Regeneron Genetics Medicines and other departments to create genetic therapies in a wide range of disease areas, including hemophilia, lysosomal storage disorders, metabolic diseases, and hearing loss, that directly impact the lives of patients. As a Sr. Scientist, Bioinformatics, a day might include the following: • Developing algorithms using concepts in transcriptional regulation, synthetic biology, and machine learning to design new promoters in AAV payloads for cell type- and tissue-targeted expression. • Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response. • Building tools to characterize RNA transcripts using long-read sequencing. • Discovering new nucleic acid modifying enzymes by mining metagenomic datasets. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. • Contributing to regulatory submissions. • Publishing and presenting novel findings in patents, conferences, and peer-reviewed journals. This job might be for you if you: • Want to contribute to the advancement and design of next generation genetic therapies and help shape computational tools used by a rapidly growing part of the company. • Have a strong computational background and enjoy creating new methods. • Like working at the interface between computation and experiments. • Like diving deep into data, including analyzing raw NGS reads. • Have a curious mindset, pay strong attention to detail, and challenge conventional wisdom. • Can effectively communicate with collaborators from various backgrounds and value teamwork. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, Bioengineering, or related quantitative fields. You must also have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with developing new computational methods, and have a strong background (3+ years) in R and/or Python. Previous experience or familiarity with NGS technologies and experimental wet-lab molecular biology is highly desirable. Familiarity with a Linux environment, shell scripting, and high-performance computing clusters is a plus. Experience with machine learning on biological problems is also highly valued. #LI-hybrid #RGM 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 comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible 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 parental 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. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $103,600.00 - $169,000.00

Position Overview The Staff Bioinformatics Scientist is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Staff Bioinformatics Scientist is responsible for successfully leading the planning and execution of projects. This position involves independently making detailed observations, analyzing data that is extremely complex... and technical, critically analyzing the data and providing supporting scientific rationale as needed, as well as providing insights into the future direction of the project for successful outcomes. The Staff Bioinformatics Scientist helps develop the timeline and plan for new assignments/projects. As a technical expert with deep knowledge and thorough understanding of the science, the Staff Bioinformatics Scientist provides technical guidance and mentorship to junior scientists in the Research and Development group. Working in a team setting, the Staff Bioinformatics Scientist will be involved in Research and Development projects serving as a technical lead and subject matter expert in exploring, researching, and testing new technologies or providing and developing ideas and concepts to improve or develop processes that add value or establish innovative methods and processes for product development towards development of diagnostic assay products. Essential Duties Include, but are not limited to, the following: • Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies. • Independently plan and develop algorithms. • Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines; effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression. • Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes. • Contribute towards the development of timeline and plan for new assignments/study/projects. • Provide technical guidance to junior scientists in project teams. • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. • Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate. • Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures. • Provide scientific rationale when analyzing and interpreting data and provide technical input and participate in decisions affecting project planning and experimental design. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. • Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods. • Generate, document, and communicate development plans for critical aspects of a project. • Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments. • Prepare detailed technical procedures, protocols, and reports. • Evaluate impact of nonconforming data to product or process. • Identify and address trends in study data. • Prepare and approve written reports. • Lead identification of areas for process improvements. • Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements. • Prepare reports and documentation providing highly technical analysis or summarization of results, outcomes, next steps, and the future direction of the project to functional leader, technical teams/groups, or project teams. • Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; critically evaluate scientific data for its merits; lead meetings and help provide directions as a subject matter expert. • Demonstrate success in technical proficiency/knowledge, scientific creativity and rigor, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas. • Work on problems of extremely complex scope in which analysis of data requires an evaluation of intangible variables. • Exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining solutions. • Work on assignments individually and with project team members to meet department and project objectives. • Work within project timeframes with successful outcomes on multiple projects and key responsibilities. • Act as bioinformatics leader for one or more projects that are complex in scope. • Act as subject matter expert in core team and/or cross-functional meetings. • Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner. • Promote an open, collaborative environment built on trust to foster positive teamwork. • Plan, recommend, and lead activities that account for prioritization of organizational and department goals. • Train, guide and mentor research associates and junior level scientists. • Organize, present, and convey complex problems or issues. • Communicate clearly and frequently with all levels of the organization; including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders. • Create high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results. • Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization. • Apply qualitative and analytical skills with strong attention to detail. • Ability to effectively work on several varied projects at one time, with frequent changing priorities. • Demonstrate excellent analytical, problem solving and decision-making skills. • Apply sound technical knowledge and ability gained through experience and/or learning. • Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action). • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company's Quality Management System policies and procedures. • Maintain regular and reliable attendance. • Ability to act with an inclusion mindset and model these behaviors for the organization. • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. • Ability to work on a computer and phone simultaneously. • Ability to travel 10% of working time away from work location, may include overnight/weekend travel. Minimum Qualifications • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D. • 8+ years of industry or academia experience in bioinformatics. • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry. • Demonstrated experience in developing statistical and quantitative methods. • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics. • Demonstrated expertise in product/assay research, design, or development. • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. • Demonstrated ability to perform the Essential Duties of the position with or without accommodation. Preferred Qualifications • 12+ years of industry or academia experience in bioinformatics. • 10+ years of experience in molecular diagnostics, medical device/IVD/Laboratory Developed Tests (LDT) development, biotech, or life science. • Demonstrated experience in developing statistical and quantitative methods. • Demonstrated thought leader in the area of bioinformatics, genomics, and/or next-generation sequencing (NGS). • Demonstrated leadership in the area of product/assay research, design, or development. • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine techniques. • Familiarity with applying AI techniques such as deep learning, neural networks, or similar on high dimensional data. • Previous experience in developing algorithms in Molecular Diagnostics. • Previous experience in liquid biopsy NGS. • Demonstrated familiarity with software development lifecycle. • Demonstrated familiarity with Dev/Ops concept. • Experience with Project management tools such as SmartSheet or MS Projects. • Previous industry experience in product development or research. • Familiar with the design control process of IVD assay development. • Background containing a substantial amount of bioinformatics work including troubleshooting. • Previous experience working in a molecular diagnostics/clinical laboratory setting. #LI-AN1 Salary Range: $161,000.00 - $258,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible, and is eligible to receive company stock upon hire as well as annually. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms, conditions, and eligibility requirements of the applicable plans. If you need any assistance seeking a job opportunity at Exact Sciences, or if you may require a reasonable accommodation with the application process, please email hr@exactsciences.com. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company's affirmative action program are available to any applicant or employee for inspection upon request. To view the Right to Work, E-Verify Employer, and Pay Transparency notices refer to this link. These notices inform you of your rights protected by the Office of Federal Contract Compliance Programs (OFCCP

We're hiring Bioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to... • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience

Summary: Under the general supervision... of the Bioinformatics Scientist Department Manager Laboratory Directors and Pathologists and in accordance with established policies and procedures the Bioinformatics Analyst performs independently in the Department of Pathology. The Bioinformatics Analyst will be responsible for analyzing clinical Next Generation Sequencing data contributing to the development of data analysis pipelines and organizing and maintaining databases. Responsibilities: Participates in the daily clinical bioinformatics workflow such as DNA-seq and RNA-seq data analysis. Analyzes the clinical data for the validation of new Next Generation Sequencing tests. Assists with preparation of validation summaries of the new Next Generation Sequencing tests. Assists in developing analysis pipelines for Next Generation Sequencing tests. Evaluates analytical aspects of emerging analysis methods. Assists in the development of databases and webtools. Other information: BASIC KNOWLEDGE: Bachelor s Degree required. Master s Degree in Bioinformatics Computational Biology Computer Science or a related field is preferred. Demonstrates strong scientific understanding of genomics. Demonstrates proficiency in programming and scripting skills (e.g Perl Python or Java). Demonstrates knowledge of DNA-seq and RNA-seq data analysis tools (e.g. BWA GATK STAR Samtools). Demonstrates knowledge of database and webtool development (e.g. SQL HTML CSS Apache). Maintains up-to-date knowledge of bioinformatics data analysis tools Familiarity with CAP/CLIA lab setting is preferred but not required. EXPERIENCE: At least two years of industry or clinical lab experience. Experience in developing computational approaches for cancer genome and/or germline analysis is highly desirable. Excellent teamwork time management and organizational skills. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: This position requires the Bioinformatics Analyst to work closely with Bioinformatics Scientists Medical Technologists Management Laboratory Directors and Pathologists. Ability to operate equipment and instruments and to perform all procedures within assigned laboratory section and interpret them for accuracy. Physical and visual dexterity necessary to conduct and interpret analysis. Visual strain is encountered while closely examining data. INDEPENDENT ACTION: Ability to work independently in a fast-paced multidisciplinary environment. Ability to multi-task and work on multiple clinical and developmental projects simultaneously. Analyst functions independently within the department s policies and procedures. Refers specific complex issues to the Bioinformatics Scientist Manager Laboratory Directors or Pathologists when clarification of policies and procedures is required. SUPERVISORY RESPONSIBILITY: None. Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor. Location: Rhode Island Hospital USA:RI:Providence Work Type: Full Time Shift: Shift 1 Union: Non-Union