Bioinformatics Jobs

Summary W e are seeking a talented laboratory informatics scientist to join Pfizer's BioMedicine Design organization located in Cambridge, Massachusetts. The successful candidate will join a small team of computational biologists and software engineers to develop a broad array of fit for purpose computational and database tools in support of cutting-edge approaches to early stage biotherapeutic... discovery. Areas of active research include monoclonal antibodies, protein therapeutics, gene therapy, and mRNA-based therapeutics. ROLE RESPONSIBILITIES • Designing, developing, and maintaining applications to enable capture and analysis of data to accelerate discovery and enable decision making that drives biotherapeutic projects across a broad range of disease areas. • Working within a team of laboratory scientists, data scientists, and internal and external software developers to rapidly specify, implement, and deploy fit-to-purpose software tools. BASIC QUALIFICATIONS • Ph.D. or BA/MS+3-5 years post graduate experience in Bioinformatics, Biochemistry, or related field; or in Computer Science with a focus on biological or pharmaceutical sciences. • Background in molecular biology, biochemistry, or a related field ideally with an understanding of basic biotherapeutic discovery. PREFERRED QUALIFICATIONS • Strong software engineering skills including object-oriented programming and full stack web application development including javascript, css, and html. • Understanding of relational database technology and competence with SQL. Ability to design relational schemas to represent real-world data. Ability to design complex queries to generate clear representations of data from complex relational schemas. • Ability to design easy to use intuitive user interfaces. • Strong interpersonal skills and an ability to work effectively with a broad range of scientists across multiple disciplines Other Job Details • Eligible for Employee Referral • Last Day to Apply: March 10, 2022 Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Research and Development

Payroll Title: CMPTL AND DATA SCI RSCH SPEC 3 Department: MEDICINE//Genetics Salary Range... Commensurate with Experience Worksite: Remote Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday As a federally-funded institution, UC San Diego Health maintains a marijuana and drug free campus. New employees are subject to drug screening. #114379 Bioinformatics Scientist - Remote Filing Deadline: Fri 3/4/2022 Apply Now For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 02/23/22 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 03/04/22. 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. Professional fee billings for the department exceed $50 million with collections of over $19 million per year. The total annual budget is approximately $170 million, which includes contract and grant revenues, clinical practice and medical center funds, and other state and private endowment funds. The Bioinformatics Scientist will analyze cancer genomics data for projects within the lab and with external collaborators using state-of-the-art algorithms and computational methods for analysis and interpretation of large and complex datasets. Under general supervision, the Bioinformatics Scientist’s development responsibilities will include working with researchers to implement new methodologies developed by the lab and with collaborating labs, and to integrate them into the GenePattern genomics analysis platform as Gene Pattern Notebooks, i.e., complete computational analysis narratives created with the Jupyter Notebook interface to the GenePattern environment. As a member of the development team, the incumbent will also participate in user support, including answering email help questions, writing documentation and training materials, and presenting at training workshops. Applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and research tools and components. Performs research on current and future software, technologies, projects. Works on algorithm development, optimization, programming, performance analysis and/or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and/or design/implementation requirements. MINIMUM QUALIFICATIONS • Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences area with computer / computational / data specialization plus three (3) years of related experience/training OR Seven (7) years of related experience, education/training. • Intermediate knowledge of data science methods and techniques. • Advanced skills, and demonstrated experience associated with implementation and deployment of data science tools. • Demonstrated ability to regularly interface with management. • Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. • Proven skills and experience in independently resolving broad computing/data science problems using introductory and/or intermediate principles. • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. • Thorough experience working in a complex computing/data science environment encompassing all or some of the following: data science infrastructure and tools/software, and diverse domain science application base. • Proven ability to successfully work on multiple concurrent projects. • Demonstrated broad experience in one or more of the following: optimizing, benchmarking, analyzing software, and applications for data science. • Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators • Experience in the complete application cycle development including the development and delivery of production-quality software. • Experience working in a Unix environment. PREFERRED QUALIFICATIONS • Experience in using statistical languages, such as R or MATLAB. • Knowledge of bioinformatics file formats. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). 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. 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

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. The Senior Bioinformatics Engineer will be part of a cross functional team that collectively develops the bioinformatics data processing tools that are run as core components of Grail’s diagnostic test. In this role, you will work to... improve our understanding of cancer signal and noise from sequencing data, translate these findings into algorithmic approaches, and write well-written, scalable, and robust software for bioinformatics sample processing pipelines. An ideal candidate will have a background in pioneering new methodologies and developing tools for processing high volumes of data in a production environment. A deep understanding of existing bioinformatics algorithms for handling genetics data is a plus. You Will: • Develop new bioinformatics approaches for analysis of large-scale genomics datasets and application development in a fast paced research environment. • Collaborate and coordinate activities with multiple internal teams including software, clinical, operations, research, and product development. • End-to-end analysis that includes design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results. • Practice sound engineering principles, iterative approach to software design and adherence to rigorous, high-quality, testable code development. • Development of common tools, libraries and infrastructure to assist in scaling bioinformatics research efforts. • Take initiative to fix issues as they come up, ensure robustness of all product code, and pioneer new initiatives to improve results. Your Background Includes: • BS/MS/PhD in a quantitative scientific field (computer science, engineering, mathematics, statistics, bioinformatics, etc.) • 2+ years of industry experience. • Experience with R or Python programming and at least one system-level programming language like Go, Java or C++. • Experience with AWS, GCP, or Azure. • Experience with a workflow engine, like Reflow or NextFlow a plus. • Experience with cross-functional collaboration while ensuring data quality and commitment to analysis reproducibility. • Experience with real-time data visualization and analytics tools. • Experience with next-generation sequencing data is a plus. • Excellent interpersonal communication (written and verbal) and organizational skills. • Excellent team player with a demonstrated track record of success in a cross-functional team environment. • Consistent commitment to delivering on team goals with a sense of shared urgency. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Following extensive monitoring, research, consideration of business implications, and advice from internal and external experts, GRAIL has made the decision to require all U.S. employees receive the COVID-19 vaccines as a condition of employment. “Full vaccination” is defined as two weeks after both doses of a two-dose vaccine or two weeks since a single-dose vaccine has been administered. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation

The Knowledge Systems Group (KSG) at Dana-Farber Cancer Institute is seeking an experienced Bioinformatics Data Manager to spearhead multiple bioinformatics “big data” projects. The role is primarily focused on making standardized genomic and clinical data sets available to the scientific community via open-access, open-source platforms. The Knowledge Systems Group (KSG) is an applied bioinformatics group focused on developing open-source platforms for cancer genomics research and precision cancer medicine. We are computational biologists, software engineers, and project managers, all united in using our skills to make a difference in cancer patients' lives. We support several projects, including the NCI Human Tumor Atlas Network (HTAN), the Cancer Immunologic Data Commons (CIDC), and the cBioPortal for Cancer Genomics. We also support DFCI’s institutional clinical sequencing and precision cancer medicine initiatives. Located in Boston and the surrounding communities, Dana-Farber... Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. As the Bioinformatics Data Manager, you will be responsible for: • Consulting with external stakeholders to understand and define consortium requirements regarding data access, data analysis, and data sharing. • Understanding new genomic assays and defining new data standards. • Understanding and defining clinical data standards, and creating clinical data mappings for harmonized clinical data sets. • Translating consortium requirements into well-defined project specifications for handoff to software engineering team. • Integrating and harmonizing data sets in preparation for cross-trial and cross-cancer analysis. • Working with data producers and ensuring the transfer of new, standardized data sets into cloud-based data sharing platforms. • Strong background and interest in cancer genomics. • Strong background and interest in open access science. • MS or PhD in bioinformatics or computational biology. • Experience developing genomic and clinical data standards and ontologies. • Experience managing genomic assay data, including single cell RNASeq and multiplex imaging. • Experience managing complex bioinformatics projects, including stakeholder management, and ability to multitask multiple project deadlines. • Working experience with data sharing platforms, including dbGAP or NCI Cloud Resources. Due to COVID-19, KSG is currently in hybrid mode, with most members working remotely, but some members working on site 2-3 days / week. For this position, we are open to remote/hybrid workers in Massachusetts, New Hampshire or Rhode Island. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply

Advertising/Posting Title: Bioinformatics Specialist Diversity Statement: The University is especially interested in candidates who can contribute to the diversity and excellence of the institution. Applicants are encouraged to include in their cover letter information about how they will further this goal. Posting Summary: Perform bioinformatics analysis of advanced research data generated from genomics or epigenomics experiments to support NIH-funded projects in biomedical and biological research within the Stein-Lian laboratory and with collaborators both within and outside the University. Participate in meetings with collaborators and develop protocols, systems and bioinformatics pipelines to process data and to validate methods for multiple types of data analysis. Generate figures for manuscripts and grant applications. Minimum Qualifications (or equivalent combination of education and experience): Masters degree in computer science or related field with emphasis on genomic... bioinformatics analysis and three to five years of related experience. Ability to support Linux/R computer programs and to generate scripts for analyzing biological questions for large data sets preferred. Other Information: A six-month probationary period is required Special Conditions: Contingent on continued funding, Occasional overtime/weekend hours required, Bargaining unit position FLSA: Exempt Hiring Min (Represents full-time (12 months, 1.0 FTE) equivalent salary. Must be prorated for jobs less than 12 months or 1.0FTE (Salary/12 x # of months x FTE)): 53800.00 Payband Max (Represents full-time (12 months, 1.0 FTE) equivalent salary. Must be prorated for jobs less than 12 months or 1.0FTE (Salary/12 x # of months x FTE)): 102220.00 Staff Union Code: NU Job Open Date: 02/02/2022 Open Until Filled: Yes Position Title: Researcher/Analyst Posting Number: S3366PO Department: Biochemistry/55110 Position Number : 00023477 Employee FTE : 1.0 Employee Term : 12

Company Description Quantum-Si is pioneering a new generation of technology to create the market of Next Generation Protein Sequencing (NGPS). Similar to Next Generation DNA Sequencing (NGS), which gave us a blueprint of what could happen by studying our DNA, NGPS enables an unbiased view of the proteome through improved scale, resolution, and sensitivity leading to better understanding of disease and improved general health. We operate at the intersection of biochemistry, chemistry, hardware, molecular biology, photonics, semiconductor chips, and software with a goal to drive a digital transformation of a $44 billion dollar proteomics market. Join us on the journey to transform healthcare, motivated by the idea that the products you work on will change the lives of millions of people around the world. Job Description Quantum-Si is seeking a bioinformatics scientist to join our growing team working on challenging problems in the new field of single molecule protein sequencing... This is an exciting opportunity to help define the core bioinformatics algorithms and pipelines that will introduce the world to protein sequencing. The successful candidate will have the opportunity to contribute to one or more of several areas to build this fundamental technology, including: statistical and data-driven modeling, experimental analysis and design to drive platform development, proteomics database design, and the creation of the first next generation proteomics algorithms and applications. The ideal candidate will be able to work effectively with our highly interdisciplinary and collaborative teams to identify project requirements and propose, refine, and implement creative solutions to challenging problems. They will be highly self-motivated with the ability to think outside the box, learn new technologies, and collaborate and communicate effectively with computational and experimental scientists. We will invite a successful candidate to join us at our headquarters in Guilford, CT or in one of our offices in San Diego, CA or New York, NY. Remote work possible for the right candidate. Qualifications • Track record of developing novel computational approaches to solve complex biological problems • Experience working with large genomic or proteomic datasets • Deep understanding of probability, statistics, and machine learning • Deep knowledge of Python scientific computing libraries (numpy, scipy, sklearn, etc.) • Excellent data summarization and visualization skills • Love for working in a fast-paced environment • Ability to communicate effectively with laboratory scientists • Experience with protein informatics, mass spectrometry data analysis applications, and other related areas a plus • Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, or other related field You deeply identify with our core values • Team: We are stronger as a unit and collectively committed to the goal and each other. • Accountability: Be accountable to the goal, the team and yourself. • Passion: We are enthusiastic and dedicated to expanding scientific understanding and its impact. • Excellence: Be aggressive and have a sense of urgency but take pride in each task taken on. • Transparency: We align as an organization and communicate success and challenge. • Competitive: We do not fear but learn from making mistakes. We play to win! • Diversity: Each individual regardless of role makes a difference and impacts our progress. Additional Information We offer great perks: • Fully covered medical insurance plan, and dental & vision coverage - as a health-tech company, we place great worth on our teams’ well-being • Competitive salaried compensation - we value our employees and show it • Equity - we want every employee to be a stakeholder • Pre-tax commuter benefits - we make your commute more reasonable • Free onsite meals + kitchen stocked with snacks • 401k plan - we facilitate your retirement goals • The opportunity to build a revolutionary healthcare product and save millions of lives

About Us Evozyne is a high-growth, energetic, and innovative company creating novel proteins that have the potential to improve the world. With a recently completed 30,000 square-foot office and lab space in Chicago’s Lincoln Park neighborhood, we are embracing revolutionary science and artificial intelligence to find answers to critical global challenges like increasing crop yields, curing diseases, making tomorrow’s materials and cleaning our environment. The central technology is based on deep knowledge of the principles underlying the evolutionary design of proteins. Evozyne is strongly positioned to make meaningful, positive impact locally and globally for years to come. Learn more about who we are, visit www.evozyne.com. Job Summary: The primary focus of this position is the development and deployment of bioinformatics tools to curate protein sequence databases, evaluate mutational and evolutionary patterns, conduct feasibility analyses, and contextualize the design challenge... within the scientific literature. The position will interface closely with the experimental gene synthesis and assay team, and the computational deep learning design team in order to provide close coupling between the computational and experimental feedback loop. The successful candidate will lead bioinformatics efforts at Evozyne, train other team members, and contribute to the overall development of our startup company. Responsibilities: • Curate and assemble protein sequence databases and multiple sequence alignments of homologous protein families for targeted protein engineering applications. • Design, develop, and deploy computational bioinformatics analysis platforms. • Interpret and analyze large-scale protein bioinformatics datasets and contextualize mutational and evolutionary patterns. • Iteratively curate and update training data for supervised and unsupervised deep learning protein design models. • Conduct feasibility analyses on candidate protein engineering target systems. • Interface closely with the experimental and computational teams to integrate and execute the design-build-test cycle. • Lead small teams including training technicians and other staff. • Develop scalable and efficient software packages with user-friendly frontends. • Communicate results within the company and to external partners and contribute to the drafting of proposals and presentations to partners/clients. • Be a productive collaborator in our early-stage company. Competencies: • Expertise in large-scale curation, alignment, and statistical analysis of protein and gene sequences. • Experience with structure-based sequence alignment and structure analysis. • Proficiency in developing custom bioinformatics analysis tools and code. • Background knowledge and training in statistical thermodynamics and molecular modeling highly desirable but not required. • Strong programming experience in Python, C/C++, R, Perl, and/or bash. • Proficiency and familiarity with Linux / Unix. • Proficiency and familiarity with version control using git. • Competence in constructing and operating usable computational analysis pipelines incorporating commercial codes and in-house custom software. • Experience in using high performance CPU, GPU, and cloud compute environments. • Strong written and oral communication skills. • Ability to work and solve problems in interdisciplinary teams. Required Education, Experience and Certifications: • Education: A PhD degree in bioinformatics, computational biology, biostatistics, genetics, or allied fields, with a focus on computational data analysis. • Experience: The ideal candidate will have prior experience in bioinformatics analysis, protein engineering, and biomolecular modeling. Required Documents: • Resume or CV • Cover letter, including a list of (at least 3) references, with contact information

One Bioinformatics Analyst (Post-Doc) position is open in the laboratory of genomic data science and epigenome biology at the Department of Microbiology, Immunology, and Cell Biology, West Virginia University (WVU). The lab focuses on epigenetic mechanisms of drug resistance in the bone marrow tumor microenvironment of multiple myeloma and B-cell acute lymphoblastic leukemia. We apply a data-driven approach to define the hypothesis by evaluating epigenomic changes implicated in drug resistance using state-of-the-art epigenetic assays such as RNA-Seq, ATAC-seq, CUT&TAG, and single-cell multiome assay. We then apply in vivo mouse models and patient data to test the hypothesis derived from in vitro experiments. More details on our research interest can be found at https://openwetware.org/wiki/Hu. Strong candidates must have a Ph.D. in the area of applied mathematics, bioinformatics, computational biology, or other related backgrounds. The candidate should have demonstrated strong... programming skills in sequence analysis or machine learning. The lab will offer ample training opportunities to analyze various sequencing data, including RNA-Seq, ChIP-Seq, ATAC-Seq, CUT&TAG, microbiome, microRNA, 10X single-cell multiome, etc. The job also expects that the candidate devote 50% of efforts for team science through collaborative research. Having first-author paper(s) in the field of sequence analysis is a strong plus.Competitive salary and benefits package offered. Qualified applicants may submit inquiry with a cover letter, curriculum vitae, and contact information of three referees to Dr. Gangqing Hu (michael.hu@hsc.wvu.|e|d|u).Founded in 1867, WVU is 1 of only 11 research-intensive land-grant institutions offering a single health sciences campus with accredited Schools of Medicine, Dentistry, Nursing, and Pharmacy and a formative School of Public Health. The Carnegie Foundation for the Advancement of Teaching classifies WVU as a comprehensive doctoral institution with medical programs. Morgantown and its vicinity are ranked among the most livable small cities in the country. The city is located within reasonable driving distances from Pittsburgh, PA, and Washington, DC. The WVU Research Corporation is an AA/EOE/Minorities/Females/Vet/Disability/E-verify compliant employer

Job Description Summary Spend your day on things that matter. Work closely with a team of molecular biologists, immunologists, and other bioinformatic scientists in the exciting field of single-cell genomics and proteomics. Develop and deploy next-generation sequencing analysis pipelines to support our BD Rhapsody™ and BD™ AbSeq products. These complex pipelines are the tools that enable cutting edge research into areas like cancer and immune profiling, cell therapy, and stem cell biology. Success requires a firm grounding in software engineering, data analytics, ability to work successfully in teams, and a strong focus on making our customers successful. Job Description Be part of something bigger! BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. We have over 65,000 employees and a presence in virtually every country around the world to address some... of the most challenging global health issues. Duties and Responsibilities: • Develop, test, deploy, automate, and support NGS analysis pipelines • Analyze single-cell data to support new product development • Develop end user applications that support visualization and statistical analysis • Troubleshoot problems, address issues, and answer questions from internal users, collaborators, and customers • Identify performance bottlenecks and port code to higher performing languages or algorithms • Interact with a cross-functional team of data scientists, engineers, and biologists to determine requirements and functionality • Mentor junior associates (Immediate management responsibility is possible for qualified applicants) Education and Skills: • PhD degree in bioinformatics, molecular biology, computer science, or related field • Minimum 8 years of experience, and a proven track record of Python and C++ programming • Experience implementing pipelines and analyzing NGS data • Team-oriented • Strong written and verbal communication • Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail Preferred Experience: • Experience with advanced RNA or protein expression data, including single-cell and/or ATAC-seq • Experience with common biological sequence databases, formats, and commonly used bioinformatics tools • Proficiency in data analysis using Python and/or R • Experience with any of the following: Common Workflow Language (CWL), AWS, Pandas/Numpy, Docker, agile software development, git For most roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In limited circumstances, weekly testing for COVID-19 may be available instead of vaccination. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. Why join us? A career at BD means being part of a team that values your opinions and contributions and that empowers you to bring your authentic self to work. Here our associates can fulfill their life’s purpose through the work that they do every day. You will learn and work alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. Our Total Rewards program — which includes competitive pay, benefits, continuous learning, recognition, career growth, and life balance components — is designed to support the varying needs of our diverse and global associates. To learn more about BD visit https://jobs.bd.com/ For many roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, weekly testing for COVID-19 may be available instead of vaccination. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status. #LI-PRO Primary Work Location USA CA - San Jose Additional Locations Work Shift

We are currently searching for a Bioinformatics Scientist to provide bioinformatics related duties to the Cohorts Data Analytics Core. This opportunity is full-time, and it is on site in Bethesda, MD. Duties & Responsibilities • Optimize and maintain best practice pipelines to determine Phenotype Risk Score PheRS and perform PheWAS, LabWAS, TWAS, and similar analyses • Use and maintain large-scale genotype and phenotype databases • Build computable phenotypes for disease, drug effects, and other conditions using combinations of EHR data and survey data • Develop scripts that analyze a variety of health-related data and combine data across different orthogonal data sets, such as EHR data, environment, taxonomical knowledge resources such as OMIM, human phenotype ontology, or Drug bank to aid in genomic analyses • Provide broad-based programming and analytic support for a wide variety of informatic and genomic research projects; write custom scripts to analyze public or data generated... in the laboratory • Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects • Perform computational analysis of, and interpret results • Maintain proper and detailed documentation of the analysis performed and report results at lab meetings • Provide detailed documentation of custom scripts • Develop or share tools via simple websites • Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects • Identify new tools and resources for reaching biologically meaningful conclusions • Work on multiple projects concurrently with other laboratory members • Interact and advise other NIH researchers to translate research phenotype and analysis ideas into requirements for projects to be executed within the cohorts that we maintain access • Collaborate with group members in experiments associated with data collection • Attend group meetings; present findings; author publications resulting from projects # SOAR #LI-JR1 Requirements Skills • Experience with one or more general programming languages including but not limiting to: Python, Perl, or Java • Experience in large-scale analyses in the high-performance computing environment or cloud-based environment • Experience in creating data management tracking systems, data and analysis quality control, error-checking procedures, and back-up procedures to prevent loss of data • Ability to quickly convert analysis ideas to implementation, and to multi-task on different projects • Experience with Electronic Health Record (EHR) a plus • Experience with OMOP or FHIR a plus • Experience with All of Us, UK biobank and the eMERGE is a plus (not required) • Ability to use version control systems, such as GitHub is a plus • Ability to use version control systems, such as GitHub is a plus • Experience with OMOP or FHIR a plus • Experience with All of Us, UK biobank and the eMERGE is a plus (not required) • SQL • R • Perl • Java • Python Qualifications • Minimum Education: BA/BS Degree with 3 years of specialized experience, Master’s Degree preferred in Biomedical informatics/Informatics/ Bioinformatics/ Biostatistics/ Computational Biology/Genomics/Computer Science or a related field • At least 3 years of specialized experience with Bachelor’s Degree Due to our contractual requirements and federal orders, including an Executive Order from the White House and an emergency regulation from the Centers for Medicare & Medicaid Services (CMS), the position for which you are applying requires that you provide proof of your vaccination status. If you are unable to receive the COVID-19 vaccine for medical reasons or because of a sincerely held religious belief, you may request an exemption from the vaccination requirement which shall be reviewed after the submission of requested documentation. If an accommodation is granted, the conditions may include weekly testing and masking. All Guidehouse employees also agree to follow any additional health and safety mitigation policies that may be required in the workplace. Company Description Dovel Technologies and its Family of Companies (Medical Science & Computing and Ace Info Solutions) was acquired in October 2021. Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance, including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities or to apply for a position, and you require accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse, and Guidehouse will not be obligated to pay a placement fee