Bioinformatics Jobs

Pay Range $131,800.00-$217,500.00 Company Overview The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Please review important announcements about vaccination requirements and our upcoming EHR implementation by clicking here. Important Note for MSK Employees: Your Career Hub profile is submitted to the hiring team as your internal resume. Please be sure your profile is fully complete with your skills, relevant experience and education (if required). Click here to learn more. Please note, this link is only accessible for MSK employees. Job Description Exciting Opportunity at MSK: Are you a Software Engineer enthusiastic about helping solve problems in cancer biology, genomics, and their clinical applications? Join us as a Bioinformatics Software Engineer IV! In this role you will lead the software engineering team who is developing the FDA-recognized precision oncology database OncoKB. OncoKB is an integral component of the clinical genomics platform at MSK, codifying MSK’s immense expertise on genomic biomarkers and their clinical applications. OncoKB is currently being used to annotate all patient sequencing reports at MSK as well as thousands of patients in retrospective cohorts for cancer researchers worldwide. The OncoKB software suite has been developed in-house at MSK since 2013. It includes a curation interface that supports content curation, a public website (oncokb.org) that hosts more than 1000 daily user visits worldwide, as well as a database and API that support real-time annotation of genomic variants identified in cancer patients. To better support clinical decisions and cancer research, we are looking to expand features of all OncoKB components. The Center for Molecular Oncology’s (CMO) mission is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSK to conduct large-scale translational research involving molecular characterization of patient tumor specimens to identify genomic features that drive clinical outcomes. Role Overview: • Execute and oversee the systems, programs, and computational aspects of OncoKB. This includes leading the development and implementation of new features, ensuring the platform's stability and scalability, and leading all aspects of data management and integration. • Lead and develop a team of software engineers, providing technical guidance, mentorship, and support. This involves fostering a collaborative and productive work environment, setting clear goals and expectations, and conducting performance reviews. • Collaborate with the OncoKB Lead Scientist and SCMT to translate scientific and clinical requirements into technical specifications. This includes participating in meetings, reviewing documentation, and providing input on the feasibility and implementation of new features. • Lead all aspects of the deployment of OncoKB to its various outputs, including the public website (www.oncokb.org), cBioPortal for Cancer Genomics, and MSK-IMPACT clinical reports. This involves working closely with IT and other collaborators to ensure seamless integration and data transfer. • Ensure the security and integrity of OncoKB data, implementing appropriate access controls, data backup and recovery procedures, and data validation protocols. • Stay abreast of emerging technologies and best practices in software engineering, evaluating and adopting new tools and methodologies to enhance the functionality and performance of the OncoKB platform. Key Qualifications: • Master’s degree with 5 years of experience or Bachelor's degree with 7 years of proven ability in computer science, bioinformatics, or a related field, or equivalent professional experience. • Strong leadership and management skills, with the ability to motivate and guide a team of engineers. • Demonstrated expertise in web application development, including proficiency in HTML5, CSS, Java, and Python. • Extensive experience with databases such as MySQL and MongoDB. • Strong understanding of cloud deployment principles and technologies. • Experience with software development in a team environment using Git/GitHub or other source code control systems. • Excellent communication and collaboration skills, with the ability to effectively interact with scientists, clinicians, and other stakeholders. Core Skills: • Experience with Google Firebase or similar platforms. • Knowledge of user interface design principles and best practices. • Prior experience working on open-source projects related to bioinformatics or cancer genomics. • Familiarity with the principles of precision oncology and cancer variant interpretation. Additional Information: • Schedule: 37.5 hours Monday - Friday, hybrid• Location: 323 E. 61st Street (Maclowe)• Reporting to: Attending Associate Pay Range: $131,800.00-$217,500.00 #LI-hybrid Helpful Links: • MSK Compensation Philosophy • Review Our Greats Benefits Offerings Please click to learn more about MSK’s compensation philosophy. Closing MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: The Center for Human Genetics and Genomics is seeking an experienced bioinformatics programmer to join the deciphEHR team, which is pioneering genomic medicine at NYU Grossman School of Medicine. This role is a key part of a dynamic and rapidly growing project to develop software for optimizing and integrating large-scale genome sequence processing linked to EPIC EHR (electronic health records). Specifically, the individual will develop the data infrastructure for processing and querying large genomic datasets by our end users, as well as involved in cutting edge genomic medicine research. We seek and individual who is experienced in writing production grade bioinformatics pipelines with database/data warehouse integration experience, as well as have some experience in independent research. Job Responsibilities: • Develop production genomic workflows on HPC as well as cloud environments • Develop a genomic data warehouse for efficient querying of large data using Glow • Perform data processing and QC for genomic and clinical datasets • Participate in data and software maintenance work for our team • Document all required software code and experiments • Extract and manage multidimensional descriptive numeric and digital data from the EPIC EHR database for phenotype analysis Minimum Qualifications: Master's degree in computer science/data science/bioinformatics/Statistics/Information Science or related technical disciplines. Proven programming skills in Python, Bash/UNIX, R. Proficient in Git for version control. At least one year experience with a big data technology such as Spark, Hadoop, etc. At least 3 years of experience with a workflow language (WDL, Snake-make), Docker/Singularity, and HPC. At least 4 years of experience with standard genomics bioinformatics tools (PLINK, GATK, etc). Must be able to work in a demanding and dynamic team environment and work independently. Knowledge of algorithms and data-structures. Experience with Web-based application development languages such as HTML/JavaScript. Must demonstrate excellent communication skills, both oral and written, within the team and end users. Preferred Qualifications: Experience with the Glow framework for genomic variant ingestion to cloud/Spark/Hadoop is a big plus. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $100,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Organization Overview Our Vertebrate Genome Laboratory conducts research and services for individual and large vertebrate genome projects such as the Vertebrate Genomes Project (VGP/G10K) that aims to sequence high-quality genomes for all 66,000 vertebrate species on the planet. https://vertebrategenomesproject.org/. Overview We seek a highly motivated individual with a strong background in Computer Science and Genomics to join the Bioinformatics team of the Vertebrate Genome Laboratory (www.vertebrategenomelab.org) at the Rockefeller University. This person will generate reference genomes of eukaryotic species as part of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org) and the Earth Biogenome Project (EBP, https://www.earthbiogenome.org/). In particular, the individual is expected to help achieve the following goals: • Work closely with the VGL data production and bioinformatics teams, and the broader international scientific community of the VGP, to actively generate draft high-quality genomes. • Help make the current pipeline, which is already heavily streamlined, fully automated, such that the sequencing data is automatically processed into draft assemblies along with QC, ready for manual curation. • Consistently improve the pipeline for genome assembly quality and efficiency, based on feedback from genome curators, incorporating novel data types, and adding or help in designing novel tools. Our current workflow involves: 1) in-house generation of a variety of long- (PacBio, Nanopore) and short- (Hi-C, Element, Illumina) read data; 2) in-house generation of reference-grade draft genome assemblies; 3) manual curation of the draft assemblies; 4) submission of the final, curated assemblies to the public archives. The individual will be integrated in step 2, and will be responsible to run, maintain, further develop, and improve the VGL genome assembly pipeline currently implemented in Galaxy (Lariviere et al. 2024 Nature Biotechnology DOI: 10.1038/s41587-023-02100-3). Responsibilities Responsibilities include: • Genome assembly • Genome assembly pipeline maintenance Qualifications The ideal candidate will have a sound knowledge of genomics, ideally with insights into genome assembly, genome curation and genome analysis. Required: • Master's degree required, Ph.D. preferred • Educational emphasis in computer science or computational biology • Strong programming skills, includin knowledge of computational data-analysis workflows (e.g. CWL) • Familiarity with Unix and HPC environments • The ability to work both independently and as part of a team Preferred: • Previous experience with Galaxy workflows is a plus • The ability to organize, prioritize and plan a diverse range of work to meet deadlines • An investigative and solution-orient mindset • Good communication skills • Skilled in working effectively within large national and international scientific consortia The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $62,400.00/Yr. Compensation Range: Max USD $80,000.00/Yr.

Adjunct Faculty in Bioinformatics Open Rank - Natural Sciences FACULTY VACANCY ANNOUNCEMENT Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York/CUNY. LaGuardia offers more than sixty associate degree and certificate programs, as well as dozens of workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 25,000 students. More than one-third of our degree-seeking students were born outside of the United States, coming to LaGuardia from 136 countries and speaking forty-three heritage languages. More than half are first-generation college students. Sixty-nine percent live in Queens; the rest live in Brooklyn and beyond. Approximately two-thirds of our degree students receive financial aid. Since forty-five percent of them identify as Hispanic, the US Department of Education has designated LaGuardia a Hispanic-Serving Institution. Please visit www.laguardia.edu to learn more. The Natural Sciences Department of LaGuardia Community College of the City University of New York invites applications for part-time faculty members to teach a one-semester Genomics & Bioinformatics (SCB207). SCB 207 is a computer-based interdisciplinary course that introduces the principles of genomics and bioinformatics. Topics include genomics science, computer-based data analysis, practical computer concepts for bioinformatics, and genome mining projects. This class meets in person every Thursday from 1:00 – 4:25 PM during the Spring I semester (3/6/25 to 6/16/25). The successful candidate will be required to perform teaching and guidance duties in the areas of expertise. This includes teaching, creating, administering, and grading assessments (quizzes, exams, lab reports), holding office hours, and providing student guidance. QUALIFICATIONS For Adjunct Assistant Professor, Adjunct Associate Professor and Adjunct full Professor: Ph.D. or Master’s degree in Biological Sciences, Bioinformatics, Computer Science, or a related field. OTHER QUALIFICATIONS • The ability to teach successfully, demonstrate scholarship or achievement, and cooperate with others for the institution's good. • Proficiency and active professional experience in the bioinformatic field or related field, as well as in mining and analyzing genome data. • Proficiency in basic computing and data analysis concepts using R and Python programming languages is preferred. • Teaching experience at the college level is highly desirable. COMPENSATION For Adjunct Assistant Professor: $100/hour For Adjunct Associate Professor: $108.33/hour For Adjunct Full Professor: $112.50/hour CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY From our job posting system, select "Apply Now", create or log in to a user account, and provide the requested information. If you are viewing this posting from outside our system, access the employment page on our web site and search for this vacancy using the Job ID or Title. Candidates should provide a CV/resume and statement of scholarly interests. CLOSING DATE February 9th, 2025 JOB SEARCH CATEGORY CUNY Job Posting: Faculty EQUAL EMPLOYMENT OPPORTUNITY CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer. Job ID 29642 Location LaGuardia Community College

Organization Overview Cancer remains a daunting problem despite decades of active research into its molecular causes. Such studies have predominantly focused on the earliest stages of cancer progression,such as the formation of a cancer or genes involved in the growth of the primary tumor. In humans afflicted by cancer,the primary tumor is typically surgically resected or eliminated by radiation. Vast numbers of patients,nonetheless,die of cancer as a result of metastasis or the spread of cancer cells from the primary tumor site to distal organs. This process is,in fact,the overwhelming cause of death from cancer,and its occurrence changes a patient's prognosis to incurable. Despite its vast clinical significance and inherently fascinating underlying biology,the metastatic program is poorly understood both at the molecular level and at the cellular/tissue micro-environment levels. Our laboratory employs a multi-disciplinary approach involving molecular,biochemical,computational,imaging,and clinical association methods to characterize the critical regulatory pathways that mediate the steps of this process. By implanting human cancer cells obtained from patients with breast or colon cancer into recipient mice,we study and interfere with the various stages of metastasis. By comparing human cancer cells that are highly metastatic to those that fail to metastasize,we have uncovered a set of small RNA molecules (microRNAs) that suppress metastasis. Our future work is aimed at gaining a better understanding of the mechanisms by which these microRNAs block metastasis. Our hope is that a better understanding of this process will enhance our therapeutic arsenal against it. Overview As a Bioinformatics Assistant II, you will be trained in the analysis and interpretation of next-generation sequencing (NGS) data, originating from mouse experiments of cancer metastasis as well as patients, under the guidance of postdoctoral scientists and bioinformaticians. Responsibilities Responsibilities include: • Learn and assist in analyzing sequencing data using established pipelines • Learn and perform appropriate QC measures • Learn and develop/benchmark new tools for sequencing data analysis • Assist and collaborate with internal and external researchers in interpretation of sequencing data • Other responsibilities, as assigned Qualifications Requirements: • Bachelor's degree is required; Master's degree or equivalent experience preferred • Team-oriented • Excellent written and verbal communication skills • Collaboration skills and an eagerness to learn • A working understanding of code and script Preferred: • Exposure to NGS data analysis preferred • Training in statistics or machine learning is a plus. The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $55,000.00/Yr. Compensation Range: Max USD $65,000.00/Yr.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses Perform robust data quality control and validation. Develop expertise in various types of sequencing data analysis (e.g. , whole genome sequencing and 3D chromatin data from short and long reads, optical mapping, and single-cell sequencing.). Other duties as assigned. Work closely with bench scientists to understand and help accomplish their research goals. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments; Scripting languages: Python or Perl; Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $71,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Overview A postdoctoral fellow position is immediately available in the laboratory of Dr. Wei Zhang, Professor in Cancer Biology and Director of Cancer Genomics and Precision Medicine at the NCI designated Atrium Health Wake Forest Baptist Comprehensive Cancer Center. Qualified candidates should have training in bioinformatics analyses to support the expanding emphasis on projects focused on elucidating the relationship of treatment responses, particularly immunotherapy, and the genomic landscape of patient tumors. A doctoral degree is required in related areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines. Please send a cover letter and CV to Dr. Wei Zhang, wezhang@wakehealth.edu.

If you’re a student pursuing a degree in Bioinformatics, Computational Biology, Computer Science, or related majors, you may be a fit for a Co-op in our Research and Development or Information Technology organizations. Please apply to one Co-op of interest that best matches your major. Our Co-op positions are January-August (Spring-Summer), May/June-December (Summer-Fall), and August-December (Fall). In this role, a typical experience might include the following: • Achieving a general understanding of what happens in our global organization • Completing hands-on project work that has an impact on the business • Engaging with Regeneron leadership • Collaborating with a specific hiring manager and other interns/co-ops • Establishing connections with Regeneron’s diverse set of employee resource groups • Participating in professional development sessions while enjoying lots of free food and swag • Showcasing the knowledge you gained through end of program presentation sessions • Getting paid for your hard work! This role might be for you if: • You want to make a difference • You advocate for your ideas – and what they can do in the world • You’re excited to think, challenge, listen, re-think and solve • You continuously look for ways to improve • You are science-minded, ask questions and challenge conventional wisdom • You work with precision, passion, thoughtfulness and integrity • You’re ready to work with the team that can bring a great idea to life • You know this is no ordinary job Please note our intern pay ranges are determined by level of education (year in school) and degree program. • The hourly rate range for Rensselaer, NY is $17.00 - $24.25 per hour. • The hourly rate range for all other locations is: $17.00-$48.50 per hour. To be considered for this opportunity, you must be enrolled in, or accepted to, an academic program pursuing an Undergraduate or Graduate degree (and be returning to school the semester following the position). A cumulative GPA of 3.0 is preferred. We want someone who is able to commit to 40 hours per week from January-August, May/June-December, or August-December. Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community is also preferred. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

VelocImmune (VI) Next is a technology development group at Regeneron that invents and develops state-of-the-art tools for biologic drug discovery. We are seeking a highly motivated Scientist with experience in computational biology to join our bioinformatics research team at the Tarrytown location. The Scientist will operate at the interface of multi-faceted data analyses and computational technology development to support therapeutic advancement in multiple disease fields. The Scientist will be part of a cross-functional and highly collaborative team towards the creation of next generation cell and gene therapies. A typical day in the life of a Scientist would include the following responsibilities: • Develop, apply and tailor computational methods for analyses of multi-omics datasets generated through cutting-edge sequencing technologies, including both single cell and bulk level, as well as shotgun and long read sequencing • Develop computational platforms and models (e.g. machine learning models) driven and trained by data • Work closely with web lab teams and clinicians for data processing, analysis, interpretation and visualization to support research in multiple stages of therapy development spanning discovery, pre-clinic and clinical studies • Self-motivated, passionate about computational data, and conduct research collaboratively in a team setting. This role may be for you if you have the following: • B.S./M.S. in one of the following fields: Computational Biology, Bioinformatics, Systems Biology, Computer Science, Mathematics, Engineering, or other related fields, with 6+ years of experience. • Proficiency in one of the commonly used programming languages, such as R, Python, Perl, Java, or Linux • Hands-on experience with analyses of high-throughput biological data; experience with single cell data or long read sequencing data analysis, or working experience with adaptive immune receptors will be a plus. • Passion for learning and exploring new fields Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $92,500.00 - $151,100.00

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets