Bioinformatics Jobs

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. 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: • Some work may be performed in a laboratory or field setting. WORKING 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 $64,480 to $97,000 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. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and 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, protected veteran status, or any other characteristic protected by law

We are seeking a highly motivated bioinformatician to join as a Research Assistant Professor in the Institute on the Biology of Aging and Metabolism (iBAM) and the Department of Genetics, Cell Biology, and Development at the University of Minnesota, Twin Cities. Aging is a natural process throughout an entire life course. Focusing on health and well-being, in iBAM we study the multiple facets of... this process from many angles. This allows us to share insights in understanding how the 12 hallmarks of aging affect us and how to manipulate the pathways involved to allow for more healthy aging. Being a successful candidate, you will have multiple responsibilities. First, you will lead a new research project that is funded within the scope of our research area of interesting, perform data processing and analysis with a focus on single-cell transcriptomics, and write manuscripts. You will participate in multiple collaborative NIH Research or Program Projects in collaboration with wet-lab researchers in the field of aging research with different research expertise, e.g., genetics, molecular biology, cell biology, immunology, and development. You will also participate in NIH grant applications typically in collaborations with faculty members in the iBAM. You will contribute to write grant annual reports and present the progress of the project orally in intramural, national, and international meetings and conferences. Finally, you will provide on-hand guidance to junior bioinformaticians at the graduate researcher or postdoc level on their research projects. Your appointment will be institutionally supported for any effort not assigned to active grants and are not required to pursue a fully independent research program. Qualifications Required Qualifications 1. Ph.D., or equivalent degree in Bioinformatics, Biostatistics, Genetics, or related field. 2. Postdoc research experience of minimum 3 years in the development of computational methods or data analyses in the field single-cell transcriptomics and/or spatial transcriptomics. 3. Basic understanding of molecular biology, cell biology, immunology, or development. 4. Demonstrated research experience as evidenced by a strong publication record. 5. Excellent communication and writing skills. Preferred Qualifications 1. Experience in participating NIH grant writing. 2. Experience in participating collaborative projects with wet-lab researchers. 3. Experience in the field of biology of aging. How To Apply Please email your CV/resume, cover letter, a 2- or 3- page research proposal, and contacts of three referees in a single PDF to Xiao Dong, PhD (dong0265@umn.edu) before December 31, 2023. About the U of M The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

St. Jude Children's Research Hospital is looking for a highly motivated Senior Bioinformatics Analyst/Bioinformatic Analyst to contribute to genetic research projects in the Department of Epidemiology and Cancer Control. Our research leverages comprehensive biomedical data from childhood cancer survivors participating in two world-leading cohort studies, CCSS (https://ccss.stjude.org/ ) and... SJLIFE (https://sjlife.stjude.org/ ), to identify novel genetic determinants of childhood-cancer-treatment-related outcomes using advanced data-science methods. One of our ongoing research theme is on rare variant/haplotype analysis (Wang et al. Cancer Res 2023; Letsou et al. Life Sci Alliance 2023), aiming to apply to the CCSS/SJLIFE data. As a Bioinformatics Analyst, you will work under the supervision of a Lead Bioinformatics Scientist on various genetic analyses such as GWAS, rare variant/haplotype analysis, polygenic risk score, and epistatic analysis. You will also assist in evaluating new genetic computational methods, acquiring data from public databases (e.g., UK Biobank, TOPMED, dbGaP, GEO, gnomAD, GTEx), and sharing the analytic workflow and resources with the department and the research community. The ideal candidate should demonstrate good data analytic skills and be familiar with Shell scripting languages as well as high-performance cluster computing environment (HPC). Good understanding of genetics and molecular biology is preferred, but it is not required. In this position, you will have opportunities to advance computation skills in analyzing extensive genomic data using HPC and cloud environments, gain knowledge of pediatric cancer, its treatment, and contribution of germline genetics to the late effects of cancer therapy, and have co-authorship in scientific publications of all projects you contribute to. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform basic analysis, algorithm implementation, programming, and quality checks on data to be loaded into a biomedical database. • Assist in adopting new and improved tools and web-based applications. • Assist in evaluating products and solutions pertaining to the department’s technology needs, in maintaining databases or data warehouse and project reports. • Perform other duties as assigned to meet the goals and objectives of the department and institution. 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 preferred. Senior Bioinformatics Analyst Minimum Experience: • Minimum Requirement: 4+ years of relevant experience required. • Experience Exception: Master's degree and 1+ years of relevant experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred Bioinformatics Analyst 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. 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. Other Information 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

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 20 • Standard Work Schedule: • Building: • Salary Range: $35,000 - $35,000 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 The Department of Systems Biology at Columbia University Irving Medical Center is seeking to hire a part-time Bioinformatics Analyst to work in Dr. Yufeng Shen’s lab. The Bioinformatics Analyst will participate in analysis of large-scale genomic data in genetic studies of human conditions and diseases. Responsibilities • Participate in computational and statistical model development for predicting genetic effect of genomic variation. • Participate in computational analysis of large-scale genomic data to identify risk variants and genes in human conditions and diseases, such as autism and neurodevelopmental disorders. • Maintain and improve bioinformatics pipelines for genomic variants annotation. Minimum Qualifications • Bachelor’s degree or equivalent in education and experience Preferred Qualifications • Bachelor’s degree in Science or Engineering • At least one year of experience in projects with data science or machine learning as a core component • Proficient in Python, git, and modern data science frameworks Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Hiring Pay Scale... $25.67 - $33.00 / Hour Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #125271 Bioinformatics Programmer I Initial Review Date: Wed 9/27/2023 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. UCSD Layoff from Career Appointment: Apply by 09/15/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/27/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTION The Department of Medicine (DOM) is the largest department within the UCSD School of Medicine and is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego School of Medicine. The department employs approximately 500 salaried faculty, 168 academic appointees, 331 residents, fellow and postdocs and 479 staff personnel. Computational biologist. Resolves routine programming problems, applying established data processing algorithms to novel data. Works on issues and projects of limited scope. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. Maintains repositories of published code and answers outside user requests. Aids in the publications of research results. Proficiency in Python, R, Linux, and git version control systems required. AWS experience is a plus. Understanding of major biological data types (genomic SNPs, single-cell RNA-seq expression, protein-protein interaction networks, ATAC-seq, Chip-seq) is required. Will design and develop bioinformatic programs and pipelines to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training, OR a Bachelor's degree in bioinformatics, biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods, techniques, and data structures. • Programming experience: R, Python, Linux, bash scripting, git version control systems. • Demonstrated experience in processing and analyzing genomics data. • Proven knowledge of applications programming and web development. • Knowledge of modern biology and applicable field of research. Theoretical knowledge in molecular, cellular, or developmental biology. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Strong ability to communicate technical information in a clear and concise manner. • Basic knowledge of application and data security concepts. PREFERRED QUALIFICATIONS • Knowledge of AWS, Jupyter Notebook, HPC • Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. • Understanding of major biological data types (genomic SNPs, RNA-seq expression, protein-protein interaction networks. • Experience analyzing singlecell and spatial transcriptomics data. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 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 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

We are looking for an enthusiastic Bioinformatics Scientist to work in close collaboration with scientists from diverse fields and who can lead independent scientific projects. You will develop and maintain innovative bioinformatics methods and computational pipelines running on high-performance computing platforms that help the Regeneron Genetics Medicines group create next generation therapies... using gene editing and gene insertion. Your role will involve working on innovative technologies like Adeno-associated viruses, CRISPR-Cas9, deep mutational scanning, and using machine learning methods to treat of cure disease. Working in the Molecular Profiling and Data Science department will also give you the opportunity to participate in collaborations in many facets of research and development, ranging from machine learning and inference of statistical models for genotype-phenotype assay data through to the assessment of therapeutic antibodies and other biologics that drive Regeneron’s therapeutics. As a Scientist-Bioinformatics, a typical day might include the following: • Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as Shell, Python, and R, and use HPC platforms in a Linux/cloud-based environments. • Develop machine-learning and statistical frameworks to get insights from large sequencing data sets and work on generative models to optimize and generate novel biological sequences with desired properties. • Building tools to characterize gene insertion and analyze NGS data using short and long-read sequencing. • Work with other bioinformaticians to enhance existing pipelines, share methodologies, and develop standard processes. • Conduct independent computational biology research aligned with the department’s overall goals. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. This job might be for you if: • Want to contribute to the advancement and design of next generation genetic therapies and improve health outcomes. • Like working at the interface between computation and experiments. • Have a strong computational background and enjoy creating new methods. • Like diving deep into data, including analyzing raw NGS reads. • Can effectively communicate complex concepts to collaborators from a wide range of backgrounds. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree (or master’s degree with 4 years of relevant experience) in Computational Biology, Bioinformatics, Quantitative Biology, Computer Science, Applied Mathematics, Physics, or related quantitative fields. You must have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with machine learning methods, and have a strong background (3+ years) in Python and/or R. Strong familiarity in working in a Linux environment, and shell scripting is desirable. Strong familiarity with HPC environments is also high valued. Familiarity with code version control systems such as git and testing code (e.g., unit- and functional-tests) a strong plus. Experience with front-end web application development would be a plus. #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) $88,500.00 - $144,500.00

Summary The Therapeutic Innovation Center is embarking on a programmatic effort to advance drug discovery for RNA helicases in cancer. The center is seeking talented computational biologists to work in an interdisciplinary team environment on early therapeutic and drug discovery projects. As the center’s key focus is on diseases of gene regulation, with an emphasis on cancer, this position will... involve the analysis, interpretation, and visualization of genome-wide profiling including RNA-seq and data from large publicly available resources such as TCGA and DepMap. Job Duties • Utilize R programming to extract insight from raw molecular data and provoke development of novel hypotheses. • Design and develop novel algorithms for data analysis and data visualization. • Develop and maintain bioinformatic pipelines. • Annotate and maintain collaborative computational environments and code bases with an emphasis on reproducibility and rigor. • Visualize and clearly communicate (oral and written) analysis results to an interdisciplinary audience. • Maintain a collaborative, collegial and respectful team environment. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • One years of relevant experience. Preferred Qualifications • Master's degree in a related field. • Expertise in R programming. • Experience with analysis of publicly available resources such as TCGA or DepMap. • Competency in multiple key areas including machine learning and high-throughput sequencing methodology. 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. 16803 CH; SN

This is what you will do: As an integral part of Alexion’s Bioinformatics and Data Sciences team, your role involves creating and developing bioinformatics and data science solutions to advance the AAV gene therapy platform. You'll be part of a skilled team dedicated to generating strategic value and driving innovation throughout Alexion through the creative use of data sciences. You will need... to effectively collaborate with other colleagues at Alexion with diverse scientific backgrounds to deliver novel quantitative solutions and analyses. You will be responsible for: • The successful candidate will collaborate effectively with research teams and will be responsible for developing computational solutions to design, develop, and optimize capsids and transgene cassettes for the novel AAV (adeno-associated virus) development. • Implement computational tools, lead experiment design, analyze studies/assays (such as DNAseq, RNAseq, Single Cell sequencing), interpret results, offer project projections, communicate findings, and uphold active program timelines. • Work both independently and as part of a collaborative team to apply innovative data analysis and AI/ML approaches • Develop software tools and scripts to support data analysis and interpretation pipelines. Practice reproducible research and version control in data analysis. • Lead efforts to identify key needs and questions that can be addressed using genetics, Omics or other bioinformatics approaches in collaboration with cross-functional research teams • Stay up-to-date with relevant scientific literature and incorporate new insights into research activities and evaluation of new technologies and methods You will need to have: • PhD (or equivalent degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, with strong background in data science and machine learning, 5+ years of related experience (including post-doc experience) • Significant experience in AAV design and engineering • Solid training and experience of machine learning/ artificial inteligence/ network modeling, strong programming skills in R and/or Python and familiar with Unix/Linux and high-performance computing environments • Proven track record in the analysis, visualization, and interpretation of genetics and Omics data • Strong knowledge of human genetics, molecular biology, as well as biological pathways and networks • Be able to work independently within distributed team environment made of both internal and external stakeholders and contributors • Excellent communication and presentation skills with specific experience in cross functional collaborations.. • The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours. We would prefer for you to have: • Familiarity with concepts, tools and data formats used for sequence analysis, protein structure modeling and integration of diverse -omics datasets • Familiarity with computational protein modeling and structural biology

AbbVie is seeking a highly motivated scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in South San Francisco. The ideal candidate will have a strong background in immuno-oncology, bioinformatics and data science, ability to drive cutting-edge science and work a matrix environment. Applicants having experience in R and Python coding and applications to single cell data... analysis is highly desirable. The candidate will be expected to implement and/or evaluate new technologies and approaches to streamline data analysis for early and late-stage small drug modalities to facilitate rapid advancement of drug candidates in our pipeline. In addition, you will have opportunities to contribute to broader areas within QTAS as your experience and expertise warrants. Core responsibilities include: • · Maintaining existing R coding scripts in support of preclinical and clinical biomarker data • Implement bioinformatic scripts and develop data visualization approaches for preclinical studies • Evaluate emerging algorithms and approaches to improve rigorous assay development and internal quality control measures • Keep up to date with emerging literature and science in high-parameter data analysis and visualizations • Participate in cross-functional collaborations with preclinical and clinical teams to provide decision-quality data • Communicate internally on topics related to pharmacodynamic biomarkers and bioanalysis Qualifications: · MS level position in mathematics, bioinformatics, biotechnology, biology, immunology, cancer biology or B.A./B.S with 5 years of bioinformatic experience with a focus on biological systems. Prior experience with R and Python coding languages and data visualization approaches are required; prior experience with flow cytometry data is highly desired. • Strong and relevant publication record in the bioinformatics, immune-oncology, and immunology fields • Highly motivated, self-driven and results-oriented person with excellent communication and presentation skills, capable to work both as team player and independent scientific contributor • Passion for generating ideas, learning, solving technical problems and applying new technologies to further scientific goals Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. • This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. 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 protected veteran, or any other legally protected group status

• Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and... comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. • We seek an enthusiastic and highly motivated bioinformatics associate to join our cancer genomics research group. This individual will join oncologists, computational biologists and research scientists on our effort aimed at studying the relationships between cancer causing genomic alterations and clinical outcome. This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer genomics research, research planning and strategy, and data analysis and interpretation. • This individual will analyze cancer genomic data generated at Dana Farber using software tools within our team and by generating their own statistical analysis code. This individual will collaborate with oncologists, computational biologists and research scientist to study alterations in patients’ somatic genomes in order to assist in finding new cancer treatments and cures. • Works in teams with oncologists, research scientist and molecular biologists to define and execute computational approaches. • Performs computational analysis of next generation sequencing data, somatic copy number alterations, expression profiling, and biological pathways using in house algorithms. • Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates. • Presents data at project team meetings. • Assists in drafting of scientific manuscripts. • This employee will be located at both the Dana-Farber Longwood Medical Area campus and at the Broad Institute in Cambridge. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. • Required: B.S./B.A. in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, and/or python. The ability to work in teams, excellent communication and data presentation skills. • Preferred: Background in molecular genetic data. Understanding of statistical methods and working in cloud computing and UNIX environments. • We will consider May 2024 graduates. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. EEOC Poster