Bioinformatics Jobs

Bioinformatics Analyst Interested in building a career in life sciences? An exciting mid-size Pharmaceutical company on the west coast is looking for talented Bioinformatics Analyst! The opportunity is a fully remote, 6 to 12 month contract-to-extend with benefits. There is an Oncology emphasis but all therapeutic backgrounds are encouraged to apply... The Bioinformatics Analyst will be responsible for: · Leading computational biology and data analysis efforts · Partnering with team members to develop robust data analysis pipelines · Communicating strategies and progress to cross-functional management · Integrating and interpreting heterogenous & noisy datasets from ongoing clinical trials The Bioinformatics Analyst should have the following qualifications: · Master's Degree in scientific discipline · Proficiency with R & Python with working knowledge of AWS · Experience with PowerBI, Tableau, or Splunk · 5+ years experience in the Life Sciences Benefits: · Opportunity for growth at an exciting Pharmaceutical company · Fully remote · Competitive pay rate If you are interested in the Bioinformatics Analyst role, then please don’t wait to apply. Please note this role is only offered on a W2 basis through EPM Scientific

Summary This opportunity with the Next-Generation Sequencing Informatics... (NGSI) group requires a high-performing data scientist with broad informatics experience to generate, troubleshoot and deliver large-scale production deliverables. The ideal candidate will be fluent in at-scale sequencing and analysis methods and possess exceptional organizational and communication skills. As the HGSC Bioinformatics Core, NGSI manages the production, maintenance and primary analysis of all HGSC genome sequence data from Novaseq, PromethION, and PacBio sequencing platforms. NGSI also contributes to multiple clinical, Mendelian, and large cohort sequencing studies, specifically in the areas of structural variation and at-scale genomic data science. Under the direction of the NGSI leads, a qualified candidate will execute and manage data generation, delivery, QC, and analysis of large data sets, requiring use of local and cloud-based compute resources. These responsibilities include direct interaction with collaborators and communicating relevant results, with opportunities to present work at meetings and conferences. The HGSC was founded in 1996 under the leadership of Dr. Richard Gibbs and is a world leader in genomics. The fundamental interests of the HGSC are in advancing biology and genetics by improved genome technologies. As one of the three large-scale sequencing centers funded by the National Institutes of Health, the HGSC provides a unique opportunity to work on the cutting-edge of genomic science in a state-of-the-art institution. Today, the HGSC employs ~ 200 staff, and it occupies more than 36,000 square feet on the 14th, 15th, and 16th floors of the Margaret M. and Albert B. Alkek Building. The HGSC is located on the southwest edge of downtown Houston, the fourth largest city in the U.S., in the Texas Medical Center, the world's largest medical complex. The major activity of the HGSC is high-throughput DNA sequence generation and the accompanying analysis. The HGSC is also involved in developing the next generation of DNA sequencing and bioinformatics technologies that will allow greater scientific advances in the future. Job Duties • Manage the generation, storage and delivery of large-sample genomic datasets • Develop, test and deploy at-scale analysis protocols • Deliver QC’ed data to public repositories and collaborators • Maintain extensive project-specific documentation and best practices • Support day-to-day NGSI production pipelines • Participate in calls and meetings with collaborators • Identify novel ways to improve data quality and analysis • Provide excellent customer service to other HGSC groups and outside collaborators through Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a related field. • At least 1 year of hands-on experience working on Linux or Unix-based systems from the command line. • At least 1 year of programming experience with Python (preferred) or Java. • Familiar with running analyses on a HPC clusters (Moab, PBS, and Torque preferred). • Familiar with Cloud Computing (AWS, Google). • Demonstrated ability to manage multiple tasks and overlapping deadlines. • Excellent written and verbal communication skills. • NGS pipeline development. • NGS sequence analysis tools (e.g., BWA, Samtools, bedtools, bamUtils, Picard, GATK,vcftools,bcftools). • Common genomics data formats (e.g., FASTQ, BAM, VCF, BED). • Database and big data software (e.g. NoSQL, Hadoop, HBase). • Statistical and visualization software (e.g. R, SAS). • Demonstrated experience in software development or testing. • Structural variation detection methods. 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. 14669 CA; CH; SN

Company Description Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum... Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening. Job Description DEPARTMENT SUMMARY – The Bioinformatics, BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. In this role, you will help lead the bioinformatics and data analysis in support of the late-stage oncology products and other emerging technologies. You will work with a number of BioPharma and clinical customers, tailor personalized analyses for each organization, and tackle some of the most interesting biological and technical questions related to cancer diagnostics and therapy selection. About the Role: You will contribute to BioPharma project initiatives in-house, including development of novel bioinformatic and analytical methods. As a part of the Bioinformatics and BioPharma teams, you will have the opportunity to innovate and implement your ideas to continuously improve our oncology products and analytics to adapt to the changing landscape of BioPharma needs. Essential Duties and Responsibilities: • Collaborate with multiple teams across Guardant Health, including Bioinformatics, Medical Affairs, Software, Business Development, Technology Development, and Operations • Work together with our collaborators in industry, hospitals and academia on high-impact translational research and publish on your findings • Analyze and interpret data collected at Guardant Health and leverage this data for tumor biology and technological insights. Qualifications • PhD in bioinformatics, genomics or related fields • 3+ years relevant experience in Pharmaceutical or Biotech industry • Extensive knowledge of molecular biology and cancer genomics • Expertise in scripting language – R and/or Python and linux shell environment (Bonus: experience developing novel / custom algorithms for interpretation of NGS data) • Excellent data analysis skills and working knowledge of statistical methods • Experience with NGS data and landscape of bioinformatics tools (Bonus: direct experience with epigenomic data) • Desire and ability to dig deeply through various data types to seek out answers • Great communication and presentation skills, ability to present clearly and effectively to stakeholders across organizations • Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines • Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail • Strong team player: ability to work together with your team as well as cross-functionally and even across institutions, to accomplish your goals Additional Information Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. Covid Vaccination Policy: Guardant Health requires all employees to be fully vaccinated. We follow the CDC guidelines for the definition of “fully vaccinated”, meaning an employee is consider fully vaccinated against COVID-19 after receiving the second dose of a two-dose vaccine or one dose of a single-dose vaccination, and necessary booster vaccines. In addition, fully vaccinated employees will be required to maintain their fully vaccinated status under this policy by obtaining, if applicable, any FDA-approved boosters. Candidates may request an exemption from Guardant’s COVID-19 U.S. Vaccination Policy as a reasonable accommodation, as consistent with applicable laws.  Candidates will not be able to start their employment with Guardant until they show proof of vaccination or have an approved exemption. Company policy requires that you be fully vaccinated in order to work on-site, visit customers, or attend Company meetings. For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $136,000 to $184,000. The range does not include benefits, and if applicable, bonus, commission, or equity. Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above. Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants. Please visit our career page at: http://www.guardanthealth.com/jobs/ #LI-CS4

Payroll Title: BIOINFORMATICS PROGR 2 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $75,850 - $92,000 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday - Friday #121793 Bioinformatics Programmer Extended Deadline: Tue 3/28/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 03/01/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 03/10/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION The mission of the collaborative effort between the Bintu lab and the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of neurodegenerative diseases. The epigenome plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions, and aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The Bintu lab and the UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the co-mentoring of Assistant Professor Bogdan Bintu and the Associate Director of Spatial Genomics Quan Zhu, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics/genomics experiments. The incumbent will help to evaluate data quality and gain biological insights, as well as assist to prepare results for oral presentation, scientific publications, and grant applications. Furthermore, the incumbent will be trained in maintaining the advanced Fluorescence In Situ Hybridization (FISH)-based imaging technologies to conduct high throughput, spatially resolved single cell analysis of transcriptomics and chromatin structure. CT - Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives. MINIMUM QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • Two (2+) or more years of relevant experience. • Working knowledge of bioinformatics methods and data structures. • Thorough knowledge of applications programming and web development. • Working knowledge of databases. • Working project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail. • Working knowledge of modern biology and applicable field of research. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Thorough knowledge of application and data security concepts. • Working knowledge in genomics, biostatistics, molecular biology, and/or genetics. • Ability to work in a dynamic "startup" atmosphere. • Knowledge of analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus. • Prior experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML). SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional holidays, weekends, evenings, nights, and on-call may be required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

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

We are seeking talented and motivated bioinformatics specialists (Biostatistician 1) for Research Scientist positions at 100% FTE for a 2 year fixed term (possibility for renewal). The successful candidates will have expertise in bioinformatics/systems biology with a focus on analyzing omics data, including gene expression profiling, and will work in Dr. Bali Pulendran's, laboratory at the... Institute for Immunity, Transplantation, and Infection at Stanford University. The individuals will join a dynamic, interdisciplinary group of researchers including immunologists, vaccinologists, clinicians, and bioinformaticians, to address major global health issues relating to vaccines and infectious diseases, funded by the National Institutes of Health and the Bill and Melinda Gates Foundation. The successful applicants will perform integrative analysis of omics profiling of the transcriptome, epigenome, and metabolome to discover biomarkers of vaccine efficacy and new biological insights about the human immune system. The successful candidates will both lead and collaborate on projects aimed to using systems biological approaches to define the correlates and mechanisms of immunity to vaccination. • Analyze and integrate omics datasets from multiple platforms (single cell RNA sequencing, single cell ATAC-sequencing, multidimensional flow cytometry and metabolomics). • Work with a multi-disciplinary team of immunologists, clinicians and bioinformaticians to apply novel and complex statistical approaches to immunological data generated in clinical studies. • Contribute to the development of bioinformatics workflows and pipelines. • Collaborate with experimental immunologists in the analysis and visualization of omics data. • Maintain a database of omics data generated in the lab. Duties include: • Design study. • Implement protocol for quality control. • Create analytic files with detailed documentation. • Implement data analysis through statistical programming. • Present results for investigators using graphs and tables. • Summarize findings orally and in written form. • Participate in the preparation of papers for publication. • - Other duties may also be assigned DESIRED QUALIFICATIONS: The qualified applicants will have: • An MS.C Ph.D. in bioinformatics, computational biology, computer science, or in a relevant biological discipline. • Demonstrated experience in bioinformatics research, focusing on transcriptional profiling and predictive modeling. • Familiarity with working in a Linux/Unix environment; experience is Linux system administration and hardware configuration is a plus • Experience with development and maintenance of relational databases • Fluency in at least one programming language (R, Python, Perl, Matlab) • Adequate knowledge of molecular biology, and intention to deepen and improve his/her understanding of these fields. Knowledge in immunology is preferred though not essential. • Expert knowledge of bioinformatics applications and biological databases • Strong quantitative or statistical background, experience in machine learning and predictive modeling are highly desirable. • Excellent verbal and written communication skills. EDUCATION & EXPERIENCE (REQUIRED): Master's degree in biostatistics, statistics or related field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Proficient in at least two of R, SAS, SPSS, or STATA. • Skills in descriptive analysis, modeling of data, and graphic interfaces. • Outstanding ability to communicate technical information to both technical and non-technical audiences. PHYSICAL REQUIREMENTS*: • Frequently perform desk based computer tasks, seated work and use light/ fine grasping. • Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs. WORK STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $89,000 to $105,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy Additional Information • Schedule: Full-time • Job Code: 5521 • Employee Status: Fixed-Term • Grade: H • Requisition ID: 98221

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and... volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Organization Overview: At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world’s greatest health challenges. We are seeking a highly motivated bioinformatics scientist to join our team to contribute to high visibility research on RNA therapeutics. The Genetic Medicine team is an innovation-focused group working to identify, develop and apply cutting-edge technologies to deliver maximum benefit to our patients. Our computational team collaborates with experimental scientist from diverse backgrounds, and contributes to study design and protocol development that accelerates discovery. The successful candidate will be responsible for analyzing high-throughput sequencing data (e.g. RNA-seq, smRNA-seq, scRNA-seq) to extract biological insights such as function and therapeutic strategy. The candidate will work closely with experimental and computational scientists to develop study design, analyze data, and present results. Key responsibilities: • Analyze high-throughput sequencing data to extract biological insights • Partner with others in the group to develop new analysis tools, pipelines, and methodologies • Collaborate effectively with experimental and computational scientists to design studies and develop protocols • Perform quality control analysis and troubleshoot any issues • Perform differential expression analysis, pathway analysis, gene set enrichment analysis to identify biological processes and pathways affected by RNAi based therapeutics • Generate visualizations and reports to communicate results to stakeholders • Participate in scientific discussions and present results to the team Basic Qualifications • PhD degree in bioinformatics, computational biology, computational genomics, integrated biomedical sciences, or related field • 3+ years of work experience in RNA-seq data analysis Additional Skills/Preferences • Expertise in systems biology, bioinformatics and genomics • Self-directed and highly motivated individual who wants to learn new techniques • Strong communication (oral and written) skills and ability to work collaboratively in a team-oriented environment • Proficient in data analysis and reporting • Strong problem-solving skills and ability to troubleshoot issues • Extensive experience in solving scientific problems using programming languages, programming skills in at least one language relevant to data analysis such as Python or R • Experience working with High-Performance Computing and/or Cloud environment • Experience with next generation sequencing data analysis • Experience with RNA-seq analysis tools such as STAR, HISAT2, DESeq2, edgeR • Experienced with gene expression data analysis / transcriptomics • Deep understanding of nucleic acid, cellular and/or molecular biology • Understanding of the biological principals underlying RNAi based therapeutics • Demonstrated knowledge of genetics and molecular biology, particularly relating to RNA • Experience in algorithm development, statistics, data management, data mining, machine learning, data visualization, and/or analytics are all a plus • Experience with RNA-based or gene editing therapies highly preferred Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

The Senior Director for Computational Biology within the GRC at AbbVie, a Fortune 50 Company, will be responsible to lead a global team of Computational Biologists and bioinformatics engineers to collaboratively drive Drug Discovery and Development efforts across all therapeutic areas. This leader will leverage modern digital technologies to collect real-world, longitudinal, and integrative... health data, across genomic, digital, and laboratory assays, and focused on relevant populations for or treated with AbbVie therapeutics. Reporting into the Vice President of Genomics Research and Data Integration at AbbVie, this Senior Director will play a key role in building and leading a multi-disciplinary team focused on leveraging over 1 million genomes, cutting-edge OMICS data, deep clinical data, and large real-world data sets to advance and accelerate AbbVie’s pipeline and have a remarkable impact on patient lives. • The Senior Director will build and maintain world-class computational biology and bioinformatics capabilities enabling cutting edge science in close collaboration with Drug Discovery and Development by driving a future-fit strategy to achieve scientific and culture goals across the Corporation. • The successful candidate will be a member of the Genomics Research Center Leadership team and collaborate with a diverse and interdisciplinary team of scientists from human genetics/biology, molecular biology, biochemistry, biostatistics/statistical genetics, and clinical backgrounds to generate and implement impactful analytical strategies to enable existing and new therapeutic opportunities, both internal and evaluation of external opportunities • As part of their role the successful candidate will ensure scientific excellence and the use of best practices across teams, identify project targets and/or innovative technologies and prioritize within the context of overall strategy, resource availability, competitive dynamics, and functional goals. • Department leadership responsibilities will include leading the science while coordinating resources across programs and teams and managing a team of computational leaders and 50+ scientists enabling the teams to accomplish their long and short-term goals in collaboration with Vice President of Genomics Research and Data Integration along with other senior leaders. • Exemplify advanced knowledge level, perception, and intuition across a broad range of drug discovery and development projects. • Work with the Data Integration (Convergence) Program to drive and leverage a novel, forward thinking knowledge platform. • Leverage world-class resources, large data sets and a gifted team to lead a program that is internationally recognized in academia, biotech and large pharmaceutical companies for driving the application of AI/ML to large data sets. • The Senior Director will build and maintain world-class computational biology and bioinformatics capabilities enabling cutting edge science in close collaboration with Drug Discovery and Development by driving a future-fit strategy to achieve scientific and culture goals across the Corporation. • The successful candidate will be a member of the Genomics Research Center Leadership team and collaborate with a diverse and interdisciplinary team of scientists from human genetics/biology, molecular biology, biochemistry, biostatistics/statistical genetics, and clinical backgrounds to generate and implement impactful analytical strategies to enable existing and new therapeutic opportunities, both internal and evaluation of external opportunities • As part of their role the successful candidate will ensure scientific excellence and the use of best practices across teams, identify project targets and/or innovative technologies and prioritize within the context of overall strategy, resource availability, competitive dynamics, and functional goals. • Department leadership responsibilities will include leading the science while coordinating resources across programs and teams and managing a team of computational leaders and 50+ scientists enabling the teams to accomplish their long and short-term goals in collaboration with Vice President of Genomics Research and Data Integration along with other senior leaders. • Exemplify advanced knowledge level, perception, and intuition across a broad range of drug discovery and development projects. • Work with the Data Integration (Convergence) Program to drive and leverage a novel, forward thinking knowledge platform. • Leverage world-class resources, large data sets and a gifted team to lead a program that is internationally recognized in academia, biotech and large pharmaceutical companies for driving the application of AI/ML to large data sets. AbbVie is an equal opportunity employer including disability/vets. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours

Job Description About the Opportunity SeqMatic is seeking a bioinformatics research associate to join our sequencing service team. The position requires a strong background in bioinformatics or a related science, particularly analyzing NGS data. Responsibilities include but are not limited to: * Data QC of NGS sequencing data * RNA-Seq analysis * scRNA-Seq analysis * Custom bioinformatic... analysis * Generating data QC and analysis reports * Organize and maintain experimental records and lab procedures; * Communicate in person and electronically with customers and team members; Qualification Requirements: * B.S. or M.S. in Bioinformatics, Computational Biology, Biostatistics or a related science; * Experience with a scripting language (Python, R, Perl, Bash, Java, Javascript) is required * In depth experience working in a Unix/Linux Environment is required * Experience working with next-generation sequencing preferred, particularly Illumina or 10X Genomics libraries * Knowledge of bioinformatic software tools for processing next-generation sequencing data or similar (e.g. bowtie, STAR, samtools, cellranger or related software) * Experience working with large-scale biological datasets and with high-performance computing (e.g. AWS) a plus * Proficient using MS Office Software * Ability to work well under pressure and to meet deadlines; * Ability to work independently and with a team; * Must be detail-oriented and have strong analytical skills; Company Description SeqMatic is a San Francisco Bay Area based Illumina and 10X Genomics certified service provider of Next Generation Sequencing (NGS) services. We offer comprehensive NGS services with unparalleled customer service and fast turnaround time. Our scientists specialize in tailoring each project to satisfy specific customer needs for high quality data with expert and friendly service. Our mission is to help our customers accelerate advances in drug discovery, precision medicine and clinical diagnostics. SeqMatic is a small but fast-growing company with a family environment and culture where customers and team members are respected and supported, your voice matters, and have realistic opportunities for career development. We offer a competitive salary, 401K with match and complementary medical/dental/vision benefits. Company Description SeqMatic is a San Francisco Bay Area based Illumina and 10X Genomics certified service provider of Next Generation Sequencing (NGS) services. We offer comprehensive NGS services with unparalleled customer service and fast turnaround time. Our scientists specialize in tailoring each project to satisfy specific customer needs for high quality data with expert and friendly service. Our mission is to help our customers accelerate advances in drug discovery, precision medicine and clinical diagnostics. SeqMatic is a small but fast-growing company with a family environment and culture where customers and team members are respected and supported, your voice matters, and have realistic opportunities for career development. We offer a competitive salary, 401K with match and complementary medical/dental/vision benefits

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 computational biology efforts that help the Regeneron Genetics Medicines group develop next generation therapies in gene editing, gene suppression, gene expression, and... gene insertion. In this role, you will work on projects that use innovative technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will analyze RNA-seq and other omics data to characterize our therapies, and develop novel algorithms to enable their tissue-specific expression. 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: • Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response. • Developing algorithms using concepts in gene regulation, synthetic biology, and machine learning to design new AAV payloads for cell type- and tissue-targeted expression. • Discovering new nucleic acid modifying enzymes by mining metagenomic datasets. • Building tools to characterize RNA transcripts using long-read sequencing. • 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. • Like working at the interface between computation and experiments. • Have a strong computational background and enjoy building new methods. • Like diving deep into data, including analyzing raw NGS reads. • Have a curious approach, 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 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 and with analyzing large datasets is also highly valued. #LI-hybrid 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