Bioinformatics Jobs

Location: LOC_ROBERTS-Roberts Ctr Pediatric Research Req ID: 113752... Shift: Days Employment Status: Regular - Full Time Job Summary A newly launched Translational Bioinformatics Unit within the Center for Data Driven Discovery (D3b) at The Children’s Hospital of Philadelphia (CHOP) is seeking a level II Bioinformatics Scientist to join our over 30 professional data engineers, developers, and bioinformatics scientists committed to accelerating cures for children with cancer. We’re looking for creative problem solvers who can leverage software and system engineering to perform both upstream and downstream large-scale genomic analysis. You will be involved in brain tumor research and clinical trials projects characterized with multiple next-generation sequencing or microarray technologies (WGS, WXS, Targeted Panel, RNA-Seq, miRNA, methylation, proteomics, scRNA-Seq). The primary goal will be to support precision medicine and clinical decision efforts as part of our ongoing pediatric oncology trials and internal molecular tumor boards for clinical diagnostics. The candidate will focus on the development of novel methods to implement genomics-driven therapy recommendations for rare pediatric central nervous system tumors. This position will secondarily focus on support for molecular and data integration efforts that drive D3b’s research projects. This position is entry level for a PhD-level professional and a 2nd stage position for those with substantial experience without a PhD. Activities occur with moderate supervision with substantial latitude for independent judgment. Development of bioinformatics workflows and processes, and presentation of results are expectations of the position. The Bioinformatics Scientist will attend project meetings and interact daily with BIXU team members and individual lab members on a project-by-project basis. The Scientist will be supervised by an experienced bioinformatician and work within a multi-disciplinary team within CHOP and with external collaborators. The successful candidate will have had either academic or on-the-job training on subjects related to cancer biology. They must have demonstrable productivity in bioinformatics, and at least five years of experience (inclusive of focused academic training) in bioinformatics projects utilizing bash and either Python or R programming. Demonstrable skills in the application of machine learning models in a clinical or translational oncology context is desirable. Experience in the deployment of machine learning models in cloud-based environments is a plus. Experience in the application or development of multi-modal data analysis techniques across genomic and epigenomic data is highly desired. Long Description The successful candidate must have experience in the following areas: • Analysis of sequencing data related to oncology (e.g. somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusions, RNA expression data, and copy number analyses). • Application of machine learning to address questions in clinical or translational oncology • Setting up pipelines and working in high-performance and/or cloud-based computing environments towards bioinformatics data processing for large-scale projects. • Code organization and reproducible workflow experience using Git or Docker. The following qualifications are also highly desirable: • Experience in integrative analysis of multi-modal (genomic, transcriptomic, epigenomic) cancer data in a research or therapeutic context. The successful candidate’s experience with established methods for processing genomics data should allow them to develop and benchmark analytical methods. The successful candidate should be able to work in cross-site teams on deadlines and have strong communication and listening skills. The candidate must be able to manage multiple projects and be prepared to work both independently and on collaborative efforts to complete projects within expected timelines. The candidate should be ready to commit to full data, code, and research transparency and reproducibility. The candidate will be asked to share their GitHub/Bitbucket handle and give a project presentation. Job Responsibilities Data Analysis (20%): 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. • Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Develop analysis plans that enable integrative analyses of imaging and genomic data. • Develop at least one “specialty” analytical or biomedical area that serves the collaborative team. Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. • Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. • Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. • Within the context of the collaboration or project, develop and apply best practices to code development. • Establish requirements with the project team. • Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. • Advocate for chosen strategy to project team by showing value of approach • Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. • Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. • Contribute to and influence project-level management by serving as bioinformatics point. • Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. • Develop new collaborations with high degree of supervision. Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to bioinformatics-focused manuscripts and publications. • Regularly contribute to podium presentations and posters. • Contribute to bioinformatics sections of grant and award proposals. Required Education and Experience Required Education: Bachelor’s Degree in biological or computational discipline. Required Experience: • At least three (3) years of experience in applied bioinformatics, genomics, and computational work. • Experience with management and analysis of complex data types. • Experience with genomic/proteomic data analysis methods. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s or Doctorate Degree in biological or computational discipline Preferred Experience: • Five (5) or more years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. • Experience with Python, Perl, or other languages. • Experience with pipeline or workflow development frameworks. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required. • Proficiency in various open source and commercial bioinformatics resources and software 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 preferred. • 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 preferred. • Ability to interact with biologists and clinicians during a scientific discussion 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. All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption. Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products. Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status. VEVRAA Federal Contractor/Seeking priority referrals for protected veterans. Please contact our hiring official with any referrals or questions. CHOP Careers Contact Talent Acquisition 2716 South Street, 6th Floor Philadelphia, PA 19146

Summary The Data Scientist I, Bioinformatics will be a key member of the Core Technology team and will develop and implement software tools and algorithms focusing on Next Generation Sequencing (NGS) data to advance ARCUS nuclease development and improve genome editing outcome analysis... The Data Scientist I will work closely with Genomics team members to improve and polish current in-house software and translate scripts into software for general scientific consumption. The individual will also leverage current literature to propose and implement new data analysis pipelines that complement and advance the current system of genomic analysis as well as run current analysis pipelines as needed. The ideal candidate will have extensive experience and knowledge in NGS data analysis. They will have a proven track record of software development for data analytics or bioinformatics applications. The candidate must have a high level of independence to carry out their responsibilities with minimal supervision. • *Please note, Precision BioSciences mandates COVID-19 vaccination of all employees. Accommodations may be made in accordance with applicable law. Essential Duties and Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. This list contains the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform role-related duties other than those contained in this document. • Leverage advanced computation approaches and collaborate with Genomics team members to create advanced assays for genome editing outcomes • Analyze experimental data produced by next-generation sequencing (NGS) including RNAseq and indel analysis • Maintain current and develop new computational and bioinformatic tools • Develop visualization tools for large scale genomic projects • Perform additional duties and responsibilities, as assigned Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job successfully. Required: • PhD in Computational Biology, Bioinformatics or related field or Master's degree and 2+ years of experience in Computational Biology, Bioinformatics or related fields, or equivalent combination of training and experience • Proficiency using Python for data analysis • Proficient in NGS data processing in a Linux computing environment • Some experience in R, shell scripting • Foundation in basic genomics concepts • Familiarity with publicly available bioinformatics databases, tools, algorithms, and websites, such as NCBI, UCSC, ENSEMBL, ENCODE, 1000 Genomes or NHGRI • Experience using visualization tools (ggplot2, seaborne, etc.) • Basic understanding of statistics and algorithms associated with genomics analysis • Experience working independently and within a team depending on project needs • Strong communications skills Preferred: • Software engineering experience with Python • Experience in multiple NGS assays such as RNAseq, bisulfite sequencing, or single cell analysis • Versioning software (git, etc.) • Experience using Rmarkdown or Jupyter notebooks • Experience with SQL databases Travel Requirements • This position requires little to no travel. Location • This is a primarily office-based position associated with the main headquarters in downtown Durham, NC. For the time being, this role will be able to function remotely in accordance with company safety guidelines throughout the duration of the pandemic but is subject to change as needed. Precision BioSciences, Inc. (Nasdaq: DTIL), is a clinical stage biotechnology company dedicated to improving life (DTIL) with its novel and proprietary ARCUS® genome editing platform. This isn't just a statement supporting the products that we're developing - it's a statement that speaks to our collective desire to do our part in improving the lives of those around us. ARCUS is a highly specific and versatile genome editing platform designed with therapeutic safety, delivery, and control in mind. Using ARCUS, Precision is developing allogeneic CAR T and in vivo gene correction therapies for cancer and genetic diseases. Our team includes pioneers in genome editing, leaders in business, and a full staff of talented and committed people who are excited to be a part of medical and scientific breakthroughs. For additional information, please visit www. precisionbiosciences.com Precision BioSciences actively fosters an inclusive environment to ensure we attract and retain the best talent; we value diversity of life experiences and perspectives; and we encourage innovation in pursuit of our mission. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Precision BioSciences complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training

We are currently searching for a Bioinformatics Scientist to provide support to the National Institutes of Health (NIH). This opportunity is a full-time position with MSC and it is on-site in Gaithersburg, MD. Duties & Responsibilities... • Develop and maintain bioinformatics pipelines for various genomics applications. • Develop web-based in-house database interface. • Implement and utilize workflows for next generation sequencing (i.e., QC and analysis). • Participate in innovation and development of analytical solutions. • Work collaboratively with multi-disciplinary team Requirements • BA/BSC with six (6+) years of experience or MA/MSC with four (4+) years of experience. • Experience must be from a related field (i.e., Bioinformatics, Molecular Biology, Computer Science, or related discipline) . • Programming experience using relevant packages (i.e., Python, Perl, R). • Detailed understanding of Illumina based NGS methods and tools. • Experience troubleshooting and exploring various existing scientific analysis tools. • HPC clusters and use of command line tools and scripting experience. • Working knowledge of existing tools to analyze NGS data. • Experience with relational database design and maintenance (i.e., MySQL, Postgres) is a plus. #LI-DD1 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

Twist is looking for a Bioinformatics Engineer to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class synthetic biology and next-generation sequencing applications. You will be developing and engineering tools to better evaluate and build hardened... production quality pipelines, optimize data quality, and automate lab and bioinformatics processes. Our ideal candidate is an organized problem solver with a background in developing and building novel production-quality bioinformatics tools and packages. Equally excellent communication skills and a proven ability to work independently are required. What You’ll Be Doing • Collaborate with R&D and Field Application Scientists to develop, build, and validate bioinformatics tools starting from proof-of-concept to production-grade software. • Apply scientific and engineering best practices to update and transition bioinformatics algorithms and pipelines from Research to Production • Work closely with Software and DevOps groups to develop and implement novel Bioinformatics APIs • Troubleshoot complex issues quickly and effectively What You’ll Bring To The Team • Background in Bioinformatics, Computer Science, Engineering, or another science or equivalent discipline with minimum of 2 years of industry experience • Proven ability to conceptualize, develop, and validate novel NGS QC methods based on established bioinformatics algorithms (eg. alignment, variant calling, de novo assembly, etc) and tools (eg. bwa, GATK, Picard, SPAdes etc) • Strong proficiency with Python, SQL, Bash, Git with experience building packages with tests as well as strong written and verbal English communication skills • Experience with working in industry Production environments including scalable frameworks, validation processes and documentation • Able to effectively communicate and work independently with teams using Slack, JIRA and Confluence Preferred Experience • Excellent understanding of molecular biology, with an emphasis on DNA chemistry • Experience with synthetic biology design and/or QC • Experience working with Illumina sequencers, chemistry, and software • Experience with AWS, Docker, and Kubernetes • Experience with data science tools (Pandas, Spark) • Experience with Rust and Airflow nice to have About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law. #remote

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. Bioinformatics team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI). The team addresses unmet needs for bioinformatics, data management, data mining and analysis across research, clinical, and operational units. It accelerates use of bioinformatics and data science methods, data, and tools within DFCI, bridging the gap between research and clinical practice and helping design and implement operational solutions. The group encompasses expertise in bioinformatics, data science and machine learning, and seeks to develop a highly interdisciplinary environment supporting DFCI research, clinical, and operational staff. The group works with some of the most prominent research and clinical DFCI programs, from basic research to translational research, to clinical diagnostics and operations. As we widen our collaborations with several crucial centers and programs at DFCI we look for an intelligent, hard-working, and dynamic individual to serve as Bioinformatics Scientist I or Bioinformatics Scientist II. The successful candidate will serve as an expert who will support some of the key initiatives relying on genomic data and who will have the ability to lead projects and potentially, in the future, lead other people within the team. Specifically the role will work on an exciting new initiative to develop a cloud-based bioinformatics analysis platform. The platform will enable DFCI researchers to easily manage and analyze their genomic and biomedical data in the cloud environment, build and run analysis workflows and visualize the results. The successful candidate will have proven experience in managing and independently executing complex bioinformatics tasks in the frame of Bioinformatics Workbench project. The role’s responsibilities will include: • Owning and leading various projects, serving as a subject matter expert. • Developing and implementing bioinformatics tools and pipelines in cloud environment. • Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors. • Meeting, consulting and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects. • Collecting, analyzing, interpreting, and integrating complex biomedical data. • Delivering results for projects and generating relevant reports. • Working as a part of the broader team to identify and implement longer-term solutions that will improve quality, speed and efficacy of our current projects and programs through evaluating and benchmarking new software tools and pipeline development. • Contributing expertise to DFCI software code base and communities of practice. • MS or PhD (preferred) with evidence of impact in bioinformatics applied to real life problems, ideally within a biomedical research or clinical environment. Exceptional BS candidates could also be considered. • 3+ years of experience in basic, translational or clinical research setting required. • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems. • Experience in analysis of the next generation sequencing data, e.g. DNA-Seq, RNA-Seq, ChIP-Seq, etc; experience in single-cell data analysis is a plus. • Substantial experience in one or more areas of cancer research, including solid tumors, hematologic malignancies, patient-derived cancer models, biomarker discovery, etc. is a major plus. • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities. 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

Summary This role can be remote, hybrid or onsite... The Human Genome Sequencing Center (HGSC) provides a unique opportunity to gain experience working with high-throughput clinical genomic data in an academic research environment, with opportunities for publication, conference travel and international scientific collaboration. As a member of the NGSI Clinical Informatics team, you will directly contribute to the HGSC’s pioneering work in Mendelian genomics and multiple NIH-funded Precision Medicine initiatives. You will collaborate with teammates to develop software and pipelines to expand the types of variants detectable with our clinical sequencing pipelines as well as tools for tertiary analysis of variants, including clinical classification. This position requires a high-performing programmer with demonstrated exceptional communication, organization, and time-management skills to assist in building and operating these pipelines. Job Duties You will apply existing custom bioinformatics software to both well defined and complex genome analysis problems. Design, implement, test, debug, and maintain software for genome sequence analysis applications. Evaluate the suitability of new software tools for our production pipeline. You will advise on hardware and software decisions related to efficient application of implemented software. You will invest in colleagues development by mentoring and training them as well as providing technical guidance. Minimum Qualifications Bachelor’s degree in Computer Science, Biological Science, or a related field. Three years of relevant experience. Preferred Qualifications The ideal candidate will have a background in biology, clinical lab, and/or bioinformatics with computational experience. Master’s degree in a related field. Bonus, have experience with some of the following: Software Engineering AWS / Cloud services including cloudformation, batch, lambda, SNS, ECR, DynamoDB CAP/CLIA Documentation High Performance Compute Environment (e.g., moab, PBS) Software testing NGS sequence analysis tools (e.g. BWA, Samtools, bedtools, Dragen) 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

The bioinformatics team in the VI NEXT team at Regeneron focuses on interfacing cutting-edge computational biology methods with research and technology development in multiple disease-related fields, including immuno-oncology, neurological disorders, and RNA therapeutics. We are seeking a motivated, PhD-level scientist who is passionate about computational biology and multi-omic data analysis to... probe different aspects of disease and therapeutic avenues in the field. The scientist will explore diverse datasets and closely participate in cross-functional collaborations for multidimensional cell profiling, therapeutic target discovery, biomarker identification, and therapy design. As an Associate Scientist on VI Next, a typical day might include the following: • Developing, tailoring and optimizing computational methods for high-throughput analysis of multi-faceted NGS technology generated datasets, including single cell and bulk multi-omic sequencing data; • Working closely with web lab collaborator teams for data processing, analysis, interpretation and visualization to support research in multiple stages spanning discovery and pre-clinical studies. This role might be for you if: • You are self-motivated and conduct research independently and collaboratively on a team. • Have a passion for learning and exploring new fields. • You have highly effective communicative skills To be considered for this opportunity, candidate must have a PhD in one of the following fields: Computational Biology, Systems Biology, Bioinformatics, Computer Science, Molecular Biology, Immunology, Cancer Biology, Neurobiology, RNA Biology, or other related fields. Title will be commensurate with experience. Proficiency in one of the programming languages, such as R, Python, Perl, and Linux. Hands-on experience with NGS data analysis; experience with single cell data analysis is a plus. Collaboration experience with wet lab scientists, or experience with wet lab work, or knowledge in one of the following: Molecular Biology, Immunology, Neurobiology, RNA Biology or related fields is a plus. 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 amazing benefits including health and wellness programs, fitness centers and stock for 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 maternity 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

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