Bioinformatics Jobs

Company Description Genomics England successfully led the world-leading 100,000 Genomes Project, which compared and analysed individuals’ genetic codes to help diagnose, treat and prevent illness. We're now accelerating our impact, working with the NHS to further develop and embed genomic healthcare and research in Britain. Our next chapter involves working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Job Description As a Big Data Bioinformatics Engineer you will be an experienced bioinformatician with strong foundations in software engineering and computer science. You will feel comfortable building solutions using modern cloud technologies applied to petabytes of data in your day to day. Bioinformatics engineers are responsible for developing and operating digital products... aimed at solving a wide variety of bioinformatics needs. They address bioinformatics needs in genomic medicine by crafting production quality code. Genomics England collaboratively develops and supports systems for the management of clinical, genomics and bio-medical data. These Big Data, High Performance systems provide critical information for the analysis of Next Generation Sequencing data generated by the NHS Genomic Medicine Service. Focus for this post will be on core knowledge management systems in the cloud, ensuring the right technology and architecture is used to achieve optimum performance, scalability, durability and minimal manual maintenance. You will do this by ensuring to: • Provide leadership in bioinformatics development projects. • Potentially people manage within the Bioinformatics Engineers Chapter. • Build robust and scalable cloud-based infrastructure to support Big Data knowledge bases critical for Next Generation Sequencing analysis. • Implement software solutions for high-throughput sequencing data analysis and genome analysis and interpretation. • Work with the engineering chapter to ensure adherence to software engineering standards and best practices. • Stay at the cutting edge of software development, data engineering and cloud technologies. • Ensure that implemented solutions adhere to the various standards and accreditations required for both clinical laboratory practice and software delivery Skills and Experience for Success: The successful candidate will have an interest in bioinformatics and a strong desire to develop in the field through an understanding of the biology behind it and the tools, databases, standards and technologies to support . You will strive to understand how it all works together and what our users need. Plus: • Strong experience in Java & Python • On any day you are a cloud engineer, a bioinformatician and a teammate. • You are well versed in modern Big Data engineering practices and, ideally, tools applied to bioinformatics problems. • You navigate seamlessly between SQL and NoSQL, on-premises and cloud, current and new big data technologies. • Experience in successfully planning and implementing multiple software projects throughout the whole development cycle (requirements gathering, design, implementation, testing, release, maintenance) following modern software development practices (Agile/Scrum, CI/CD, …) If you have experience of this following this is highly desirable: • Django, Hbase, SolR/ElasticSearch, MongoDb, • Intimate knowledge of the standards, data sources and tool chains used in NGS and clinical genomics Qualifications MSc, equivalent or higher in Software Engineering, Computer Science, Bioinformatics, or similar and exensive relevant experience in academic or commercial settings. Additional Information The successful candidate will receive a competitive salary and benefits package along with the opportunity of working and collaborating with some of the best researchers and bioinformaticians in the UK. As part of our recruitment process, all successful candidates are subject to a Standard Disclosure and Barring Service (DBS) check. We therefore require applicants to disclose any previous offences at point of application, as some unspent convictions may mean we are unable to proceed with your application due to the nature of our work in healthcare. Genomics England operate a blended working model, as we know our people appreciate the flexibility. We expect most people to come into the office 2 times each month as a minimum. However, this will vary according to role and will be agreed with your team leader. For some people this is 1 day a quarter, for others it is several days a week. There is no expectation that staff will return to the office full time unless they want to. The exception would be some of our roles that would require you to be on site full time e.g., lab teams, reception team. Our teams and squads have, and will continue to, reflect on what works best for them to work together successfully and have the freedom to design working patterns to suit, beyond the minimum. Our office locations at the moment are Cambridge and Farringdon (London) and in Autumn 2022 we are relocating our London office location to Canary Wharf. We will also be expanding our regional offices. Looking ahead to our move to Canary Wharf, we will be designing our new space with blended working in mind, and with the flexibility to adapt to changing work patterns. During the pandemic we will be following government advice on working from home guidance

We’re Anthony Nolan and we save the lives of people with blood cancer who need a stem cell transplant. We’re unique. Thanks to the incredible donors on our register, our pioneering research and our passionate fundraisers, we give the chance of life to three people a day. But we won’t stop there. We want to be there for everyone who needs a transplant; from finding a match, through every step of a patient’s transplant journey. And together we can reach the remarkable day when we can save the lives of everyone with blood cancer. And now we want you to join our lifesaving team. We are looking for a Bioinformatics Research Scientist to join our Research division. Title: (Postdoctoral) Bioinformatics Research Scientist Salary: £35,000-£44,000 depending on qualifications/experience Contract: Permanent – Full Time Hours: 35 per week (standard Anthony Nolan working hours) Location: Initially remote working (due to Covid-19), normally based at Research Institute in Hampstead, London... (flexible working location will be considered) The Bioinformatics Research Scientist will work as part of the Bioinformatics team to deliver high quality analysis of our registry data, developing novel methodologies and algorithms for analysis when needed. You will also help support our work providing high throughput clinically accurate HLA sequencing on the Pacific Biosciences Sequel platform. Working in a small team your role will work on optimising the tools and software we use and development to provide out scientists with high quality data for our vital research. This role is ideal for an individual with a growth mindset, focused on driving innovation and efficiency in our work to ensure the biggest possible impact. Responsibilities/duties • Conduct and support analysis of registry data, developing novel methodologies and algorithms for analysis when needed • Conduct and support analysis of sequencing data, developing novel methodologies and algorithms for analysis when needed • Communicate frequently and effectively with other teams, including laboratory scientists and project leads, to discuss the bioinformatics requirements of any projects, report data, review results and ensure that the tasks are completed satisfactorily • Keep abreast of relevant literature and methodology developments relevant to the field • Address any programming requirements inherent in the management of this data. Minimum essential qualifications/experience: • An MSc in Bioinformatics/Computer Science or equivalent (this includes courses where the applicant can demonstrate practical programming and software development experience) • Post Doctoral candidates should be able to show suitable ability and previous experience if they do not have an applicable graduate degree Please check out the job description here, as well as our FAQs & Additional Info page to read about our benefits, values and recruitment policy. Release your remarkable, join our team and give someone a chance of life. Anthony Nolan is committed to equal opportunities & a living wage accredited employer All applicants must be able to demonstrate the right to work in the UK

Job: IRC25678 Description... Job Title Bioinformatics Assistant, Molecular Immunology Laboratory / Department Molecular Immunology Department Description We pursue a combination of biochemical, molecular and genetic approaches to define the checkpoints that regulate B cell development, antibody production and B cell tolerance. A second area of interest is in dendritic cells. Our interests range from the earliest phases of the B cell pathway, including the commitment to becoming a B cell through the completion of maturation. Our ongoing work includes a focus on mechanisms of V(D)J recombination, somatic mutation, isotype switching, allelic exclusion and tolerance. Detailed Description The Bioinformatics Assistant will join a team of researchers using a combination of biochemical, molecular, and genetic approaches to define the checkpoints that regulate B cell development, antibody production, and B cell tolerance, and study dendritic cells. Will also contribute to ongoing work on mechanisms of V(D)J recombination, somatic mutation, isotype switching, and allelic exclusion tolerance. The Bioinformatics Assistant will be responsible for maintaining the existing server infrastructure of the laboratory in collaboration with our IT department, maintaining the existing analysis pipelines, and continually identifying novel tools and annotation databases to improve the efficiency, sensitivity, and functionality of the results. Job Requirements Bachelor's degree in computational biology, computer science, biological sciences, or other related analytical discipline required. Must have excellent programming skills in at least one scripting language such as Perl, Python, or R, and knowledge of SQL. Must be comfortable working in a Unix/Linux operating system, know command-line tools, the ability to multitask while working independently and exercising good judgement in terms of meeting deadlines, the ability to maintain well documented and tested code, and the ability to thoroughly document analysis results. Must be motivated to learn new technologies, contribute towards publications in peer-reviewed journals, and have strong communication skills with the ability to interact with other researchers from diverse scientific backgrounds. Must have experience in scientific programming with applications to biomedical research, preferably in the area of genomics and next-generation sequencing analysis. Additional Details This job requires that employees be fully vaccinated against COVID-19 as a condition of employment. Rockefeller University provides reasonable accommodations where legally required including accommodations for medical conditions and sincerely held religious beliefs. The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans

POSITION SUMMARY The Simons Foundation is seeking a Bioinformatics/Senior Bioinformatics Engineer (dependant upon experience) to develop and support whole exome and genome sequence data analysis pipelines in both research and operational modalities. This position will report to the Director of Data and Analytics in the informatics group and will work with other engineers and analysts in the... informatics group, as well as with clinical and basic research teams at the foundation. This position will be based in Simons Foundation’s offices in New York City. ESSENTIAL FUNCTIONS/RESPONSIBILITIES • Design, develop and operate computational pipelines for next-generation sequencing data • Work on both large-scale projects and small custom tasks that span a wide variety of analysis problems • Develop new and/or improve upon existing algorithms for variant detection (SNPs and indels) and structural variant detection (CNVs, inversions and translocations) for clinical research purposes • Develop and maintain a knowledge base of variants and annotations discovered in processing of samples MINIMUM QUALIFICATIONS Education • Master’s degree or higher in bioinformatics, computational sciences or related field. Required Attributes • At least 3+ years’ work experience in research-and-development setting in bioinformatics • Experience with next-generation sequencing data • Experience in Linux/Unix cluster environment • Advanced programming skills in Python • Strong background in algorithm development, statistical methods, machine learning and distributed computing. • Extensive knowledge of computational genomics and experience with high-throughput data analysis • Outstanding personal initiative and the ability to work effectively as part of a team • Excellent verbal and written communication skills Desirable Experience • Familiarity with C++, Perl, Matlab and R is desirable. • Familiarity with databases — relational and noSQL — cloud computing and web services is desirable. The Simons Foundation’s Diversity Commitment Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law

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Title: Senior Bioinformatics Scientist Location: South Plainfield, NJ Admera Health provides genomic and bioinformatic services for researchers working on projects ranging from exploratory to clinical. Operating in a CLIA/CLEP-certified and CAP-accredited environment, all projects are handled with exceptional care. Maximizing efficiency in laboratory services and practices allows Admera to offer substantial competitive pricing to our customers. Our team of experts can help through ongoing consultations for projects requiring fully customizable solutions. Proprietary extraction techniques have been developed that deliver robust results even with difficult low input samples, including blood and FFPE. Responsibilities: • Work collaboratively with bench scientists, comprehend project objectives, and evaluate and provide informatics solutions • Develop and implement bioinformatics analyses, applications, and workflows to expand our genomics and bioinformatics capabilities • Integrate statistical analysis to project design and data interpretations • Maintain and improve back-end of cloud-based genomic interpretation system • Manipulate publicly accessible, commercial, or proprietary genomic, clinical-related databases • Improve user interfaces to bioinformatics software and databases • Work closely with IT specialists to build robust infrastructure • Perform duties in accordance with SOPs and CLIA/CAP regulations • Maintain accurate documentation and records • Implement bioinformatics analysis for high complexity laboratory tests in accordance with SOPs and CLIA/CAP regulations • Enters, updates and maintains databases containing patient specimens • Responsible for clinical test analysis, reporting and maintaining records of patient test results Qualifications: • Ph.D. in Life Science, Bioinformatics, or Computation Biology with 2-3+ years of experience required • High programming proficiency in R, Python, Java, or Perl • Essential knowledge of key biological processes and NGS technology desired • Clinical experience within a CLIA or CAP regulated environment preferred • Concrete bioinformatics skills in analysis of data from various omic platforms • Experience in NGS data analysis • Experience in relational databases (MySQL/PostgreSQL) • Experience in web interface (web frontend) development. Familiarity with bootstrap and python web frameworks like Django/Web2py is a plus • Familiarity/Experience with AWS EC2/ELB/S3 is a big plus • Familiarity in applying statistical approaches to NGS data interpretation • Strong background in software development on Linux system • Strong communication skills, both written and verbal Admera Health employees have a winning attitude and champion innovation, teamwork and accountability through a results-oriented, customer-centric, and fun culture. We offer various health and financial benefits, learning opportunities, competitive compensation, rewarding bonus programs, and a wide range of work/life benefits designed to make your life easier. For more information, please visit www.admerahealth.com. To review and apply to our open positions, please visit www.admerahealth.com/careers. 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About The Knowles Lab The Knowles lab (https://daklab.github.io/) at the New York Genome Center and Columbia University Departments of Computer Science and Systems Biology aims to understand the role of transcriptomic dysregulation across the spectrum from rare to common genetic disease. This involves better characterization of the genetic and environmental factors contributing to RNA expression... and splicing variation. Beyond these specific projects there are opportunities for close collaboration with diverse research groups at NYGC collecting large-scale genomics datasets in the context of neurological disease and developing novel genomic technologies including single cell methods, forward genetic screens and long-read transcriptomics. Position Description The Knowles lab is seeking a Bioinformatics Associate to work on an National Institute of Health (NIH) funded project to maintain and further develop our RNA splicing analysis software tools. This multidisciplinary project is a collaboration with Dr. Towfique Raj’s group in the Departments of Neuroscience and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. This project will involve applying software engineering best practices to existing tools to make them more efficient, modular and cloud-ready. This position is grant funded for a duration of one-year through an NIH grant, and employment beyond the expiration date of the grant is subject to the availability of additional funding. Key Responsibilities • Refactoring code to be modular, using standard libraries and workflow languages (nextflow or WDL); • Improving statistical model fitting efficiency using GPU-aware machine learning libraries (e.g. tensorflow or Pytorch); • Building standardized Python and conda packages; • Containerization (e.g. Dockerization) of software; • Addressing and debugging github issues. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Required Skills Required Experience Position Requirements • BS in computer science, bioinformatics, or a related quantitative field required, MS preferred. • Strong interest in genetics and genomics required. • 1+ years programming experience in Python required (some knowledge of R preferred). • Understanding of Unix systems/command line/bash required. • Experience with cloud-computing preferred. • Some experience with NGS data analysis, functional genomics and/or human genetics preferred. • An understanding of (required) and practical experience (preferred) applying standard software engineering practices (e.g. version control with git, code review, unit testing, standard workflow languages). Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Work Flexibility NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement (working onsite on Tuesdays and Thursdays at minimum) with supervisory approval. About The New York Genome Center NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar). neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity NYGC is committed to creating a workplace where our employees reflect the rich diversity of the New York community— in race, gender, age, cultures and beliefs — and we work to support this diversity through our employment practices. We want our employees to thrive both personally and professionally. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Exempt This position is eligible for relocation assistance. This position is not eligible for visa sponsorship

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. 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. The lab of Prof. Stefan Feske (http://labs.pathology.med.nyu.edu/feske-lab/) at the NYU Grossman School of Medicine and NYU Langone Health is seeking a highly motivated, enthusiastic individual to become part of a team of scientists investigating ion channels in immune cell function. The successful candidate will have the opportunity to interface with a wet-bench scientists and lead analyses on large datasets generated from state-of-the art next-generation sequencing technologies including single-cell approaches. The successful candidate will also be a member of a vibrant group of experienced bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL, headed by Prof. Aristotelis Tsirigos, provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at NYU Langone Health. This is a great opportunity to acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple high-impact manuscripts. Job Responsibilities: • Work closely with bench scientists to understand, analyze and help interpret their genomic data • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) • Mine databases for hypothesis generation or validating information • Perform robust data quality control and validation • Manage data sets on genome browsers • Adapt genomic data analysis pipelines in a rapidly evolving research environment • Develop novel methods for multi-omics data analysis and integration • Other duties as assigned Minimum Qualifications: To qualify you must have a B.S. in Bioinformatics, Systems Biology, Computer Science or related field Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer/immunity and/or stem cells) Ability to work independently while collaborating and assisting the team in its common research goals Attention to detail and ability to work on multiple projects is necessary Excellent communication skills with proficiency in written and oral English Preferred Qualifications: Experience in Unix/Linux systems including HPC environments Scripting languages: Python (preferred) or Perl Statistical packages: R (preferred) or Matlab. 1+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq) 1+ years of experience creating customized sequencing analysis pipelines 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. To view the Pay Transparency Notice, please click here

The New York Stem Cell Foundation (NYSCF) Research Institute is a growing and successful nonprofit whose mission is to accelerate cures through stem cell research. NYSCF is seeking a Staff Scientist, Transcriptomics/Bioinformatics is responsible for building custom pipelines to analyze and interpret biological data generated by teams within the NYSCF Research Institute. You are a skilled... bioinformatician who has knowledge and experience in working with a wide range of human transcriptomic based datasets, including single-cell platforms, bulk RNA-seq, as well as CRISPR screens. You will have demonstrated a solid understanding of biology and genomics, programming skills, and experience with high-throughput molecular sequencing technologies. We offer all full-time employees a comprehensive benefits package that goes into effect on the first of the month following your start date. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification upon hire. The position is located onsite on a full-time basis at our location in Manhattan. NYSCF is an equal opportunity employer, and we value diversity in our company. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law. Our Research Institute facility is a fully COVID-19 vaccinated workplace

The lab of Prof. Stefan Feske (http://labs.pathology.med.nyu.edu/feske-lab/) at the NYU Grossman School of Medicine and NYU Langone Health is seeking a highly motivated, enthusiastic individual to become part of a team of scientists investigating ion channels in immune cell function. The successful candidate will have the opportunity to interface with a wet-bench scientists and lead analyses on... large datasets generated from state-of-the art next-generation sequencing technologies including single-cell approaches. The successful candidate will also work and interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at NYU Langone Health. This is a great opportunity to acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple high-impact manuscripts. Responsibilities · Work closely with bench scientists to analyze and interpret genomic datasets · Analyze various types of sequencing data analysis (e.g. bulk RNA-Seq, single cell RNA-Seq, and less frequently, ChIP-seq, ATAC-seq, whole-genome sequencing) · Mine databases for hypothesis generation or validating information · Perform robust data quality control and validation · Manage data sets on genome browsers. · Adapt genomic data analysis pipelines in a rapidly evolving research environment · Develop novel methods for multi-omics data analysis and integration Required skills · M.Sc. in Bioinformatics, Systems Biology, Computer Science or related field · Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer/immunity and/or stem cells) · Ability to work independently while collaborating and assisting the team in its common research goals · Attention to detail and ability to work on multiple projects is necessary · Experience in Unix/Linux systems including HPC environments · Scripting languages: Python (preferred) or Perl · Statistical packages: R (preferred) or Matlab. · 1+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq) · 1+ years of experience creating customized sequencing analysis pipelines · Excellent communication skills with proficiency in written and oral English We are pleased to offer one of the most competitive compensation packages not only among New York's hospitals and healthcare institutions, but within the corporate sector as well. Add to that a very attractive tuition program, and you'll see just some of the ways that NYU Langone Health demonstrates our commitment to our employees. NYU Langone Health 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. If interested, contact: Stefan.Feske@nyulangone.org with a (i) resume, (ii) brief statement of relevant work experience and interest in this position, (iii) contact information of 2-3 references

Invitae is a healthcare technology company that uses genetic information to empower doctors and patients to make informed medical decisions. Our development team is taming the chaos of biology with cutting-edge methods and high throughput workflows capable of processing thousands of samples each week. We are constantly improving our tools and technologies to deliver the highest quality actionable... information to patients. Behind every sample that comes in through the door we know there is an individual and a family looking for answers. As part of our Bioinformatics Rapid Response team you will help improve our products, workflows and tools in a production setting. You will apply your knowledge of software engineering, computer science and statistics to optimize our assays in various ways such as cost, turnaround time and operational stability. In the team, you will drive execution and own a solution through conception, implementation, validation and production release. You will work and learn among an extraordinary set of peers: bioinformaticians, molecular biologists, and software engineers. Your work will improve the quality of our products and directly impact each of our patients. What you will do: • Evaluate and improve production algorithms and statistical models for NGS and non-NGS assays technologies, to reduce costs, improve turnaround time, increase automation • Critically analyze large production datasets using in-house tools and build custom tools when needed • Write production-level code to implement data-driven improvements • Lead development in a cross-disciplinary setting to define issues, assemble datasets, devise analyses and document conclusions for internal review and regulatory purposes What you will bring: • Advanced graduate degree in bioinformatics, statistics, computer science or a related discipline, or 5+ years of experience working in a bioinformatics role • Deep knowledge and experience analyzing genetics data (including Illumina SBS, PacBio, microarrays, capillary electrophoresis) • Understanding of the statistical and algorithmic foundations of modern variant calling packages such as GATK and techniques for CNV/large events calling • Experience reading and writing source code for large software projects, with strong preference for Python • Excellent written and verbal communication and data presentation skills At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. #LI-Remote #LI-JM1