Bioinformatics Jobs

Strive to Bring a Profound Difference to our Patients At Avidity Biosciences, we are passionate about the impact of every employee in realizing our vision of improving people’s lives by delivering a new class of RNA therapeutics. Avidity is revolutionizing the field of RNA with its proprietary AOCs, which are designed to combine the specificity of monoclonal antibodies with the precision of oligonucleotide therapies to address targets and diseases previously unreachable with existing RNA therapies. If you are a committed, solution-oriented thinker, join us in making a difference and become part of our growing culture that is integrated, collaborative, agile and focused on the needs of patients Avidity Biosciences, Inc.'s mission is to profoundly improve people's lives by delivering a new class of RNA therapeutics - Antibody Oligonucleotide Conjugates (AOCs™). Utilizing its proprietary AOC platform, Avidity demonstrated the first-ever successful targeted delivery of RNA into muscle and is leading the field with clinical development programs for three rare muscle diseases: myotonic dystrophy type 1 (DM1), Duchenne muscular dystrophy (DMD) and facioscapulohumeral muscular dystrophy (FSHD). Avidity is broadening the reach of AOCs with its advancing and expanding pipeline, including programs in cardiology and immunology through internal discovery efforts and key partnerships. Avidity is headquartered in San Diego, CA. The Opportunity We are seeking a highly motivated bioinformatics scientist to join our group who can contribute to and help drive the expansion of our AOC platform. A successful candidate is expected to be a strong team player who will work collaboratively with cross-functional teams in both Research and Development programs to design, analyze, and interpret genomics and other multi-omics experiments. This individual should enjoy scientific discovery and collaboration in a fast-paced, interdisciplinary environment. What You Will Contribute • Support pre-clinical and clinical drug discovery activities, including siRNA library design, off-target analysis, disease model characterization, and biomarker development • Collaborate with project teams to design genomic experiments, develop analysis approaches, and independently execute bioinformatics analyses • Identify relevant internal and external data and knowledge resources and perform integrated data analyses • Document hypotheses, experimental design, analysis methods, and results in a meticulous manner • Communicate and collaborate with cross-functional teams; organize and present results concisely at regular team and cross-functional project meetings What We Seek • PhD in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Genetics, Genomics, or Computer Science, with 0-3 years of pharmaceutical industry experience or MS/BS degree with 10+ years of pharmaceutical industry experience • Expertise in analyzing data from microarray, NGS, proteomics, and metabolomics • Expertise in R and/or Python, Linux, HPC, cloud computing (e.g., AWS), and version control (e.g., Github) • Knowledge of and experience with current bioinformatics trends, public genomic tools, databases, and utilities • Knowledge of text mining and data mining • Experience with open source and commercial pathway and network analysis tools • Sound knowledge of theoretical and applied statistics • Demonstrated ability to communicate with cross-functional teams, including Chemistry, Biology, Pharmacology, etc. A strong ability to understand and communicate with wet-lab scientists is highly desirable • Excellent presentation and written/verbal communication skills • Bioinformatics expertise in translational development and RNA therapeutics (e.g., siRNA library design) is highly desirable • Experience in muscle biology is a plus What We Will Provide to You • The base salary range for this role is $120,700 - $136,400. The final compensation will be commensurate with relevant experience, skillset, internal equity, and market factors. • Avidity offers competitive compensation and benefits, including the opportunity for annual and spot bonuses, stock options, RSUs, and a 401(k) with an employer match. In addition, the comprehensive wellness program includes medical, dental, vision, and LTD coverage and four weeks of time off. • A commitment to learning and development, including a variety of internal programming developed by and for Avidity employees, opportunities for job-specific training offered by industry, and an education reimbursement program.

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $65,000 - $75,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a dynamic and motivated individual to join our research team in exploring genetic and molecular variations within precision medicine. At the Center for Precision Medicine and Genomics (CPMG), our mission is to enhance disease prevention, diagnosis, and treatment through cutting-edge research. We are dedicated to integrating personalized medicine into clinical practice and establishing genetic medicine as a standard of care. The ideal candidate will be an integral part of a cohesive team composed of clinicians, research scientists, and genetic counselors, all working collaboratively on transformative projects. This role offers an engaging, interdisciplinary environment with opportunities to learn the fundamentals of genomics and precision medicine. Responsibilities Under the close supervision of the Bioinformatics Lead and the Director of CPMG, the Bioinformatics Analyst will: • Collaborate with faculty and a team of genome analysts to analyze and interpret sequence data. • Support research studies through bioinformatics and statistical analyses, including the implementation of computational models, database management, and the use of various statistical packages. • Contribute to the development of new platforms and solutions for large-scale integrative analysis of genomic data. • Assist in the evaluation and implementation of new pipelines and methods for analyzing next-generation sequencing (NGS) datasets. • Perform other related duties as necessary. Minimum Qualifications • Bachelor’s degree in a STEM discipline or equivalent education, training, and experience, plus two years of related experience. • Demonstrated problem-solving skills. • Ability to work effectively within a team. • Strong organizational and communication skills. • Willingness and initiative to learn and adopt novel tools, methods, and technologies in a rapidly evolving field. Preferred Qualifications • Strong programming skills (e.g., Python, Java, R) and experience in *NIX environments. • Solid understanding of genetics, bioinformatics, and statistics as applied to NGS datasets. • Experience in analyzing large NGS datasets. • Proven problem-solving abilities and strong organizational and communication skills, with a desire and capability to work effectively in a team environment. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

POSITION RESPONSIBILITIES • Develop, implement and maintain existing and novel novel bioinformatic pipelines and tools to analyze large-scale epigenetic, transcriptomic and perturb-seq datasets. • Work closely with other lab members and collaborators in a highly collaborative research environment to actively contribute to the design, conception, and execution of molecular and cellular experiments to achieve the goals of the specific projects. • Designing and executing experiments, data management, data analysis, manuscript preparation, presenting research, contributing to grant proposals, and mentoring students. • Provide support and training on data pipelines, protocols, and database tools for all team member projects. • Coordinate and assist with implementation and improvement of data management and data processing protocols. • Prepare and submit manuscripts for publication in peer-reviewed journals, ensuring that the research findings are communicated effectively to the scientific community. • Engage in scientific communication by presenting research findings at conferences and workshops, contributing to the visibility and impact of the lab's work. QUALIFICATIONS Bachelor's Degree in Bioinformatics, Data Science, Computational Biology, or related field At least 1 year bioinformatics experience. Excellent communication and interpersonal skills, with a strong interest in working as part of a multidisciplinary team. Prior experience in any of the following relevant areas is highly desired: Experience with single cell RNA-sequencing.Experience in advanced genomics, bioinformatics and statistical analysis.Ability to develop and troubleshoot new methodologies.Ability to pursue exciting and fundamental biological questions.Excellent writing and communication skills.Strong publication record in peer reviewed journal. Minimum Salary Range USD $63,000.00/Yr. Maximum Salary Range USD $70,000.00/Yr. About Us The Soldner lab seeks applications for a Bioinformatics analyst to develop and apply methods to analyze epigenetics and functional genomic data sets, such as ATAC/CUT&Tag-seq, single cell transcriptomic and perturb-seq data set generated from human organoid and stem cell models. The focus of the Soldner laboratory is modeling human brain development and function in cell culture as a tool to systematically investigate the genetic, cellular, and molecular basis of complex neurological disorders such as Parkinson's and Alzheimer's disease. We employ an interdisciplinary approach, integrating functional genomics approaches in human pluripotent stem cell (hPSC) derived neuronal cells with population genetics and genome-scale epigenetic information to study neurodegenerative disorders in a genetically controlled and systematic manner. We have recently established a novel CRISPR functional genomics platform in monolayer and organoid neuronal cultures to quantitatively dissect how genetic, epigenetic, and environmental factors contribute to the development and progression of neurological diseases and to identify novel therapeutic targets.

The department of Computational Biology is seeking an experienced lead or principal-level bioinformatics research scientist to provide direction and lead the development of pipelines for use in our clinical genomics program. The clinical genomics program at St. Jude Children’s Research Hospital started in 2013 as a pioneer in the use of whole genome sequencing for clinical testing. This position in the department of Computational Biology will play a key role in continuing our innovation in this space. The ideal candidate brings knowledge of cancer biology and stays abreast of current methods and trends in published literature. By leveraging this knowledge, working in productive collaboration with stakeholders, this role can proactively identify viable opportunities and effective solutions, thereby serving as a catalyst to innovation within the clinical genomics program. This role involves directing the efforts of the multidisciplinary team that performs end-to-end development of bioinformatics pipelines, including evaluation of existing methods, development of annotation and filtering strategies, and validation in accordance with CAP/CLIA requirements. This requires bioinformatics rigor applied in a clinical context where turnaround time limits, workflow considerations, and unique analytical performance criteria apply. Candidates must possess strong communication and interpersonal skills, as the position will engage regularly with pathologists, analysts, bioinformaticians, and engineers within the departments of Pathology and Computational Biology, as well as clinicians and scientists from various departments in the institution. Job Responsibilities: • Design and lead advanced analyses and deliver high-quality results in a timely manner by identifying new technologies and methodologies and recommend for adoption when appropriate. • Coordinate development of novel software tools and infrastructure as scientific and technical advisor, by contributing code and providing scientific guidance to developers. • Conceptualize, initiate, and lead manuscript preparation and submission of benchmarking results, new pipelines, databases, and scientific discoveries where appropriate. • Establish best practices and new protocols for analysis matching skills and expertise, and share protocols with St. Jude investigators through open documentation and hands-on training. • Assist in acquiring funding to support methods evaluation, development, and infrastructure. • Lead and coordinate the development of curriculum to educate the St. Jude community. • Is an independent project leader for large-scale projects and mentors junior staff. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $138,320 - $262,080 per year for the role of Lead/Principal Bioinformatics Research Scientist, Clinical Genomics. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Robert M. Berne Cardiovascular Research Center, at the University of Virginia, is seeking a Research Scientist or Sr Research Scientist in Bioinformatics/Computational Biology. The selected applicant will be part of a multidisciplinary team, developing integrative analysis and machine learning/AI computational pipelines and performing analyses in collaborative projects using human multi-omic immune cell data, advanced imaging, genetic and clinical data as well as data from mouse model systems. Candidate will identify opportunities and implement solutions for managing, visualizing, analyzing, and interpreting genomic, proteomic, single cell and spatial transcriptomic data. The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. They will participate in meetings and consultations with CVRC Researchers to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers, attending seminars and meetings. The selected candidate will get an opportunity to master their bioinformatics skill set in a very close and interactive environment. We seek a candidate that has strong communication skills and is a team player. A working knowledge of UNIX and scripting is important for this position. The ideal candidate is expected to have a good command of at least one language (C/C++ or R or Python). Knowledge of database development is a plus. This will be an exciting environment, in which there will be opportunities to advance basic, translational, and precision medicine research as well as develop innovative, advanced computational and machine learning/AI methods with a team of computational biologists, computer scientists, and cardiovascular disease researchers. Education: Minimum: Ph.D. in Bioinformatics, Genomics, Biostatistics, or a related field Experience: Research Scientist • Terminal degree in a quantitative science including but not limited to Bioinformatics, Computer Science, Statistics, Data Science, Physics, Mathematics, Biophysics, Engineering, Chemistry or other related science fields with preference given to those with formal training in integrative and/or machine learning analysis of single cell and bulk RNAseq, mass cytometry, spatial transcriptomics, functional genomics, and biomedical data. • Candidates with experience in development of computational pipelines and large-scale data management are highly encouraged to apply. • 1-3 years of experience with programming in Python and R with a strong background in UNIX is preferred. Student experience accepted. • Strong quantitative background including statistical and/or physical modeling, machine learning or computational biology experience (e.g., analysis of high throughput sequencing data and basic understanding of underlying algorithms/statistical models). • Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics). • Excellent teamwork, communication and writing skills. • Knowledge of molecular and cellular biology concepts is also required. • Preference given to those with formal training in integrative and/or machine learning analysis of single cell and bulk RNAseq, mass cytometry, spatial transcriptomics, functional genomics, and biomedical data Sr Research Scientist • Terminal degree in a quantitative science including but not limited to Bioinformatics, Computer Science, Statistics, Data Science, Physics, Mathematics, Biophysics, Engineering, Chemistry or other related science fields with preference given to those with formal training in integrative and/or machine learning analysis of single cell and bulk RNAseq, mass cytometry, spatial transcriptomics, functional genomics, and biomedical data. • Candidates with extensive experience in development of computational pipelines and large-scale data management are highly encouraged to apply. • A publication track record of bioinformatics and/or machine learning analysis of biomedical data is strongly preferred. • Minimum of 5 years of experience with programming in Python and R with a strong background in UNIX. Student experience accepted but prefer academic or industry experience. • Strong quantitative background including statistical and/or physical modeling, machine learning or computational biology experience (e.g., analysis of high throughput sequencing data and basic understanding of underlying algorithms/statistical models). • Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics). • Excellent teamwork, communication and writing skills. • Knowledge of molecular and cellular biology concepts is also required. • Preference given to those with formal training in integrative and/or machine learning analysis of single cell and bulk RNAseq, mass cytometry, spatial transcriptomics, functional genomics, and biomedical data. This is a restricted position; continuation is dependent on funding and satisfactory performance. This position is located in Charlottesville, Virginia. This is a full-time benefited position. For more information on the benefits at UVA, visit www.hr.virginia.edu/benefits. The anticipated hiring range is commensurate with education and experience. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Please apply through the UVA job board, and search for R0059744. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: • CV/Resume • Cover letter Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. For questions about the application process, please contact Jon Freeman, Recruiting Specialist, at jf2sw@virginia.edu. For more information about UVA and the Charlottesville community, please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. Physical demands: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

North Carolina State University seeks nominations and applications for a visionary leader as Director of its Bioinformatics Research Center. The successful candidate will lead a dynamic research center at the nexus of Biological, Molecular, and Data Sciences. This opportunity is situated within a vibrant academic community renowned for its numerous research and training initiatives and poised to achieve even greater success as these initiatives come to fruition. The Director will be expected to help leverage resources to drive the center forward and support a bold vision. The Director will report administratively to the Dean of the College of Sciences and provide leadership in interdisciplinary activities for a group of ~20 faculty across multiple colleges and additional affiliated personnel. It is anticipated that the successful candidate will be (1) an internationally recognized scholar qualified for faculty appointment at the rank of Full Professor in a department appropriate to their background, with (2) demonstrated commitment to teaching and training, and (3) a record of accomplished leadership and securing center grants. Exceptional candidates appropriate for the rank of Associate Professor may be considered. The Center is aligned with the goals in the university’s “Wolfpack 2030: Powering the Extraordinary” Strategic Plan, including ensuring preeminence in research, scholarship, innovation, and collaboration and leading in developing innovative partnerships, entrepreneurial thinking, and applied problem-solving. The Director will lead the center in becoming a nexus linking campus-wide efforts in computational biology, data science and STEM education. As such, the Director will work to integrate the center with NC State's interdisciplinary programs including the Integrative Sciences Initiative and the Genetics and Genomics, Global One Health, and Data Science Academies. To apply, please go to: https://jobs.ncsu.edu/postings/207921 NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Scientist III position is an intermediate level position for a PhD level professional and a final stage position for those with high experience without a PhD. The focus of the position is collaboration-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist III will apply best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with a low degree of supervision. The Bioinformatics Scientist III is primarily focused on taking a lead, proactive scientific role in teams and projects as a bioinformatics domain expert. The Bioinformatics Scientist III must be able to perform all responsibilities listed in the Bioinformatics Scientist II job description. All responsibilities listed in this description are additional. What you will do • Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances • Coding (10%): Code and generally support code and applications on behalf of collaborative project and/or team. • Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations • Lead peer-to-peer code reviews by participating in informal and formal critical code reviews • Data Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team • Lead regular peer-to-peer review of analysis plans in both informal and formal settings • Develop multiple specialty analytical areas that serve one or more collaborative teams • Lead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peers • Collaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource • As bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms • Directly manage all elements of project satisfaction and performance relative to scientific project aims • Promote continual objective, hard discussions about overall health of project and relationship • Develop new collaborations with moderate degree of supervision • Academic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentors • Regularly coordinate and write bioinformatics-focused manuscripts and publications • Regularly coordinate and lead podium presentations and posters • Proactively contribute to entire bioinformatics and other sections of grant and award proposals Education Qualifications • Master's Degree Required • Doctorate biological or computational discipline Preferred Experience Qualifications • At least five (5) years experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Required Skills and Abilities • Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required. • Ability to assume principal investigator or similar role in academic research is preferred. • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required • Experience with Python, Perl, or other languages required. • Experience with pipeline or workflow development frameworks preferred. • Experience with management and analysis of complex data types required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Experience with genomic/proteomic data analysis methods required. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required. • Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required. • Ability to determine most favorable academic output as a primary research outcome is preferred. • Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills • Ability to independently plan and execute analyses of moderate complexity required • Ability to provide objective validation of results required • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

Company Overview: At Labcorp, we believe in the power of science to change lives. We are more than 60,000 people across 100 countries who are harnessing science for human good. Our work combines unparalleled diagnostic laboratories, drug development capabilities and commercial innovations. Together, we fuel scientific breakthroughs and deliver more than 160 million medical test results that help guide treatment decisions, accelerate patient care and change lives. Join us in our pursuit of answers Global Internship Program: Exciting opportunity to be part of the Labcorp 2025 Global Internship Program as a Bioinformatics - Oncology Intern in Baltimore, MD! As a Labcorp intern, you will have the opportunity to support meaningful assignments that compliment an education in Science, Technology, Engineering, Math, Finance, Marketing, Communications, Business and Sales - and are inspiring and valuable in our mission to improve health and improve lives across the globe. In addition to department work, we support your professional development and career exploration through program workshops, leadership speakers, employee resource group introductions, new hire panel discussions and small group “coffee chats”. We offer paid internships for current students in a variety of degree programs, such as : • Biological related sciences • Chemistry related sciences • Animal science • Computer science • Healthcare • Business/marketing What you can expect as a Labcorp intern: In 2024, we hosted more than 250 internships globally. During your 12-week full-time assignment, you can expect: • Project-based work • Opportunities to build your network • Mentoring and job shadowing • Professional development workshops • Hands-on experience Get ready to start your career and make a real difference for patients around the world. #FutureofLabcorp About the Team: • Personal Genome Diagnostics (PGDx), a part of Labcorp, is Empowering the Fight Against Cancer by unlocking actionable information from the genome. We are developing an innovative portfolio of tissue-based and non-invasive liquid biopsy genomic products for laboratories worldwide. • The Bioinformatics and Data Science team is a multidisciplinary team of engineers and scientists providing bioinformatics and data science support for the Oncology portfolio. Internship Assignment Summary: • Support evaluation of bioinformatics pipelines and software • Contribute to technical documentation • Learn development processes in an agile • Familiarize yourself with genomics results for precision oncology products Education/Qualifications/Skills: • Working towards bachelor’s degree in Life Sciences, Bioinformatics, Computer Science or a related field • Proficiency working with data and/or software, experience working with next-generation sequencing data and/or tooling preferred • Has experience delivering multiple projects in an academic or professional setting • Ability to collaborate with various stakeholders Benefits: All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), ESPP, Paid time off (PTO) or Flexible time off (FTO), Commissions, and Company bonus where applicable. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

The Molecular Profiling Data Science group is seeking a data scientist with experience in computational biology and genomic data analysis. We collaborate with colleagues across the research and clinical development teams and play a key scientific role in using innovative analytics to empower decisions in advancing our pipeline. In this role, a typical day might include the following: • Work with therapeutic focus area leadership to develop analytics strategy to address the gap in understanding new biology. • Characterize molecular mechanisms and identify novel therapeutic targets and pathways from mouse model and human clinical samples. • Manage and integrate knowledge from prior experiments & biological databases through existing or novel algorithms. • Make scientific contributions in genomic technology and quantitative sciences at the theoretical and empirical level. This job might be for you if you: • Bring innovative thinking to large-scale omics data analysis. • Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. • Value collaboration in a fast-paced environment. • Have excellent communication and presentation skills. To be considered for this role, you must have a PhD degree in computational biology or data science with molecular biology background (or vice versa) with 5+ years of relevant experience. Experience in analyze, interpret, visualize genomic data (e.g. bulk/single-cell RNA/TCR/BCR-seq), as well as a track record of high-impact publications. Expertise in machine learning and algorithm development. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, 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. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $145,400.00 - $237,200.00

Payroll Title: BIOINFORMATICS PROGR 3 Department: MEDICINE/Genomics & Precision Medicine Hiring Pay Scale $94,400 - $123,000/YR. Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday-Friday #132297 Bioinformatics and Data Science Resource - Hybrid Filing Deadline: Thu 10/3/2024 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. UCSD Layoff from Career Appointment: Apply by 9/23/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 10/03/24. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION The Department of Medicine is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego and employs 500+ full-time salaried faculty members and 150+ academic appointees. Staff personnel include 800+ staff in 9 bargaining units, students, and volunteers. There are over 250 clinical faculties practicing at multiple sites and hospitals. Under general supervision of the PI, the incumbent will perform programming and/or assist in design and analysis of systems to decipher the role of genetic variation on human traits. Projects will focus on investigation of structurally complex regions of the genome associated with human diseases using a variety of techniques including graph-based genome representations. The incumbent will be responsible for maintaining computational pipelines for processing, analyzing, and visualizing large volumes of whole genome sequence data and analysis of large biobanks. Pipelines will consist of open source as well as custom software. The incumbent will also develop and maintain web applications and assist in packaging custom software as open source tools. Finally, the incumbent will occasionally be required to coordinate with an international team of scientists to develop data acquisition, analysis, and visualization strategies. Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. MINIMUM QUALIFICATIONS • Seven years of related experience, education/training, OR a Bachelor's degree in related area plus three years of related experience/training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Demonstrated interpersonal, written and verbal communication skills and ability to interact effectively and tactfully withindividuals and groups, both within and outside the university. • Demonstrated experience using Github or a related platform for code maintenance and collaboration. • Thorough knowledge of bioinformatics programming design, modification and implementation. Demonstrated programming skills in C/C++, Python, R with the ability to work comfortably in a Linux environment. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. Demonstrated understanding of network computer operating system configurations, and experience with managingcross platform network communications and protocols, computer systems analysis and debugging methods, and current techniques for troubleshooting applications and system problems, including general knowledge of data structures, memory management, file systems, and database management techniques. • Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures. • Demonstrated ability to work comfortably in cloud computing environments, such as Amazon Web Resources. • Demonstrated experience in virtual machines and designing and creating web applications in HTML, CSS, and Javascript. • Demonstrated experience with HPC, including job submission and resource management. PREFERRED QUALIFICATIONS • Understanding of whole genome sequencing using various technologies (e.g. short and long reads). SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $45.21 - $84.67 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 If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. 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 is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination 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.