Bioinformatics Jobs

Company Description GeneGenieDx is a biotech company founded in 2020 in the bay area, California. Our mission is to discover novel biomarkers and translate them into better clinical diagnostic products. Our current focus is to develop cutting-edge bioinformatics and machine learning algorithms to enable the discovery of diagnostic biomarkers and translate them into clinical products... Job Description GeneGenieDx is seeking a self-motivated and experienced bioinformatician to intern with us and to further the development of the platform. The intern will work with senior research scientists and software engineers, making an impact on application-driven evaluation and development of the platform. The intern will have the opportunity to engage in ideation and execution iterations in a fast-growing startup environment. Outstanding candidates will have the opportunity to join the team as full-time employees. Responsibilities: • Analyze and interpret large biological datasets using statistical and machine learning techniques to identify patterns, trends, and insights • Collaborate with cross-functional teams, including bioinformaticians, and software engineers, to identify and develop solutions for complex data analysis problems • Conduct analysis on biomarker discovery and clinical diagnostics data Qualifications • Graduate student in Bioinformatics, Data Science, Computer Science or related field • Experience in programming in Python/R and visualization in data analysis projects • Experience with one or more of machine learning/ deep learning frameworks • Experience with genomic data analysis and interpretation • Excellent analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions • Strong communication and collaboration skills, with the ability to work effectively in a team environment Additional Information If you meet the above qualifications and are passionate about applying AI to solve complex bioinformatics challenges, we encourage you to apply for this exciting opportunity to intern with our team

The Bioinformatics Engineer will have the opportunity to support cutting edge clinical oncology diagnostic pipelines supporting high quality patient care as well as drug development, clinical trials, and translational research. They will be responsible for contributing to software development and analysis in support of clinical and biopharma products within the Omniseq bioinformatics team. He/she... will collaborate with clinical, bioinformatics, software development and IT groups, and other stakeholders to develop, maintain and improve NGS analysis pipelines. Contribute to bioinformatics team efforts focused on development, testing and implementation of bioinformatics pipeline and architecture to support the initiatives of OmniSeq NGS based products (40%). • Follow pipeline development under company-wide QA infrastructure (20%). • Test, debug, and maintain existing systems (15%) • Gather requirements and understand the end user’s needs (5%). • Develop software to implement the gathered requirements (10%) • Create documentation for requirements and design (5%) • Provide operational support for bioinformatics scientists (5%) Minimum Required: • Proficiency in NGS Pipelines • Proficiency Python, R, Unix shell script, and version control systems(git) • Familiarity with data storage and management systems, such as SQL and data warehouses • Experience with Docker containerization • Experience with scientific workflow language, such as Airflow, Nextflow • AWS Data Platform experience is preferred • Software engineering experience in a regulated environment is preferred but not required • Familiarity with CLIA, and HIPAA is preferred but not required • Team oriented with excellent written and verbal communication skills Years of experience in the job discipline Requires a B.S. Degree in related field w/2+ years of experience or a M.S. Degree in related field w/0-2 years of experience Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. About the Department of Pathology... Comprised of extraordinary faculty and staff, our mission is to improve the diagnosis, treatment and basic understanding of human disease. We accomplish this through our clinical services, research, and training the future leaders in pathology and related fields. A major focus of clinical research in the Department continues to be the correlation of patient outcome and treatment response with the surgical pathologic diagnosis of human cancers. Everything we do is to provide the highest quality of pathology diagnostic services to the patients for whom we passionately care. For more information about the department visit http://pathology.stanford.edu/ As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy. About GREGoR Stanford Site : GREGoR Stanford Site (GSS), is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine) and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short read and long read genome sequencing, transcriptome sequencing, methylation assays, metabolomics and/or lipidomics assays. State-of-the art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches including massively parallel reporter assays, induced-pluripotent stem cell assays and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include CV and cover letter. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Communicate with government officials, grant agencies and industry representatives. • - Other duties may also be assigned Desired Qualifications: • Bachelor’s degree in Mathematics, Statistics, Computer Science or related field. • Research experience in computational biology desired; specifically in analysis of high-throughput, multiplexed and multi-omics data. Experience in designing data analysis pipelines is an advantage. • Proficiency in Python and/or R and Linux bash scripting. • The candidate should be able to work independently, be highly motivated, well organized, adaptable and work well within a highly interdisciplinary and international team. Good communication and interpersonal skills as well as fluent English are essential, as well as proficient computer skills (Mac and PC). Education & Experience (Required): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities (Required): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at the computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: Some work may be performed in a laboratory or field setting. Work Standards (form JDL): • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $80,000 to $94,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable job

The Reitz Lab and Alzheimer’s Disease Research Center (ADRC) Genetics Core at the Taub Institute for Research on the Aging Brain at Columbia University are seeking Postdoctoral Research Scientists interested in analysis of high-throughput multi-dimensional -omics data to study neurodegeneration and diseases of the central nervous system, with emphasis on Alzheimer’s disease and related dementias... The ultimate goal is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutical targets. The Taub Institute for Research on the Aging Brain at Columbia University is a world-leader in research of neurodegenerative diseases and the nucleus of a dynamic, translational, multidisciplinary endeavor bringing together Columbia University researchers and clinicians to uncover the causes of Alzheimer's, Parkinson's and other age-related brain diseases. It is renowned for its large-scale research cohorts of neurodegenerative disorders, which include various population and family-based large-scale datasets of various ancestries with deep phenotyping including clinical, neuroimaging, and fluid biomarker phenotypes and genomic and multi-omic assessment. We are seeking highly motivated researchers with strong analytical skills to join our effort and generate novel insights of neurodegeneration using these unique multi-omic datasets, while working in a highly dynamic multidisciplinary and collaborative environment. Dr. Reitz, Director of the Genetics Core and Associate Director of the Taub Institute for Research on the Aging Brain, is well funded with several grants from the National Institute of Ageing. Responsibilities: - Analyses of GWAS, whole-exome and whole genome sequencing data of neurodegenerative disorders including blood, cerebrospinal fluid (CSF) and neuroimaging biomarkers - Analysis of other omics data (transcriptomics, proteomics, metabolomics etc) - Composition of scientific articles Requirements: The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human genomic or other omics datasets is expected. The candidate would have solid skills in at least one programming language (R, python or perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity with interrogating publicly available resources will be highly beneficial

Job Summary Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator (“PI”) to determine the most... suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs. Experience and Education • Master’s degree in Computer Science or a related field of biological science. • Bachelor’s degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology. Job Duties • Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary. • Perform complex data analysis related to specialized research methodologies and results as assigned by the PI. • Develop and/or modify software to support new and ongoing research projects. • Resolve hardware, software, and network issues in support of the lab. • Develop and maintain complex databases to support new and ongoing research projects. • Train laboratory staff in the use of pertinent research systems. • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. • Perform other duties as assigned. Knowledge, Skills, & Abilities • Work requires knowledge of computer technology (hardware, software, and programming) and basic knowledge of molecular biology or genetics or related biological science field. • Work requires ability to communicate directly with software/database developers. • Work requires ability to communicate and work with academic faculty, design creative solutions, both short and long run for software development needs in a bio and medical informatics functional area. • Work requires excellent planning and organizational skills. • Work requires excellent interpersonal and leadership skills. • Work requires ability to prioritize work and meet deadlines. • Work requires telephone and personal contact with all levels of internal and external personnel and organizations. • Work requires minimal physical exertion. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

Description Expected Starting Salary Range: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES • Management and "wrangling" of genomic data. • Help manage Xenopus genomes and participate in genome annotation and gene nomenclature. • Perform gene orthology and genomic synteny analysis. • Help test newly developed code and provide feedback for developers. • Work with biocurators and developers on the technical specification of new features for the website. • Participate in data analysis and development of new ways to visualize data. • Help manage data exports for public use and data exchange with other databases (e.g., NCBI, UniProt). • Co-author reports and publications and give presentations at national and international meetings and workshops. •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in Bioinformatics and Genomics or related degree • 0 - 2 years of work experience in a related job discipline Preferred: • MSc or PhD degree in bioinformatics and genomics. • Experience working with genomic data • Experience with a programming language such Python • Experience with standard bioinformatic tools, analyses, and file formats (Genome Browsers, JBrowse, BLAST, BLAT, multi-sequence alignments, GFF, GTF, etc). • Strong interpersonal and communication skills, including excellent written and spoken English. • Demonstrated experience documenting code, pipelines and workflows • Demonstrated ability to work in a team as well as independently, efficiently (i.e., both quickly and accurately) • Preference will be given to an applicant with: • Experience with other genomic databases • Experience in relational databases, data annotation/biocuration. • Experience in analyzing genomics data, using genome browsers and common bioinformatics tools. • Experience with Git based version control, particularly GitLab, and continuous integration. • Experience in constructing and maintaining bioinformatic pipelines. Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA

Bioinformatics Scientist will be responsible for assisting research and development team in a collaborative and multi-disciplinary effort in developing and validating OmniSeq's molecular diagnostic and next generation sequencing based bioinformatics analysis pipelines, along with playing an important role in additional research related projects in the field of clinical oncology. Bioinformatics... scientist will interact extensively with members of bioinformatics team, software development team, wet-lab experts and clinical pathologists. She/He will be expected to utilize NGS data analytical skills including but not limited to analytical validation, QC, exploratory analytics, hypothesis testing, reporting/presenting scientific results in a comprehensible manner. Essential Duties • Support the analytical validation analysis and reports for ongoing and future NGS assays. • Contribute to design, development and implementation of computational workflows for internal R&D goals. • Support research teams using cutting edge data analysis and statistical approaches in order to investigate complex genomic datasets including DNA-seq, RNA-Seq, TCR- repertoire, Microbiome, etc. • Collaborate with bioinformatics pipeline engineers and software development teams to design and analyze clinical datasets . • Present scientific findings, results and brainstorm ideas collaboratively with the scientific teams. Requirements • PhD in Bioinformatics, Computational Biology, Biostatistics or closely related fields. PhD with 0-2 years’ experience or Master with at least 2 years’ experience in a NGS field. • Experience with NGS data analysis required. • Industrial experience preferred but not required. • Proficient in programing languages such as Python, R and shell script required. • Proficiency is statistical analysis is required. • Demonstrate strong scientific understanding of cancer genomics and show a capability for independent and critical thinking. • Confident, proactive individual capable of taking the initiative and driving to results. • Solid organizational skills and independent drive to sustain productivity and meet deadlines. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement

Junior Bioinformatics Analyst Job ID: req3312... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES The Bioinformatics Analyst I is responsible for assisting with collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI). • S/he is responsible for • running analysis and assisting interpretation of high-throughput NGS datasets • preparing output and reports to support decision making • designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data • preparing and delivering presentations and posters • The Bioinformatics Analyst I is expected to • work effectively and collaboratively with colleagues across NCI and FNL; • coordinate activities among other groups located at the Bethesda (majority time), Frederick, Rockville and Gaithersburg NCI campuses; • follow sound scientific practices and maintain effective documentation of activities and analyses; • maintain an understanding of developments in the Bioinformatics field; • develop and document analysis standards consistent with NCI protocols BASIS QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Bachelor’s degree in Computer Science, Math or Biomedical Science related field from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • Must be able to obtain and maintain a public trust clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • A Masters’ or PhD degree in any quantitative science is preferred • Commitment to solving biological problems and communicating these solutions • Ability to multi-task across projects • Experience in submitting data sets to public repositories • Management of large genomic data sets including integration with data available from public sources • Experience evaluating and comparing different computational pipelines for NGS data analysis EXPECTED COMPETENCIES: • Some understanding of and experience in processing high throughput biomedical data: data cleaning, metadata management, normalization, analysis, interpretation and visualization • Ability to understand and analyze data from complex experimental designs • Proficiency in at least two of the following programming languages: Python, R, Perl, Java and C/C++ • Basic Understanding of: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose • Knowledge of working in a cluster environment • 2 years of experience Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

This position at the New York Genome Center is within the computational biology group and will report to a Bioinformatics Scientist. As a Bioinformatics Analyst, you will contribute to the analyses of transcriptome sequencing data (both bulk and single-cell RNA-Seq) generated at NYGC. This includes the maintenance, benchmarking, and continuous improvement of our processing pipelines, as well as... participation in downstream analyses. Additionally, you will apply and implement various tools and algorithms to analyze transcriptome data, collaborate with NYGC staff on developing new tools and with external investigators on the integration of functional genomics results within their scientific projects. Key Responsibilities: • Contribute to setup, management and maintenance of genomic data processing pipelines; • Analyze sequencing data using the established pipeline(s); • Perform appropriate QC measures; • Stay current on innovations in RNA sequencing technologies and analyses; • Benchmark new tools for RNA-seq and single-cell RNA-seq data analysis and propose improvements; • Support and contribute to the development and implementation of innovative computational approaches for the analysis of large sequence datasets from NGS technologies; • Participate in collaboration with external and internal researchers on the analyses of NGS data; • Interpret and present the results of the computational and statistical analyses to collaborators and co-workers; • Work with the software engineering team to ensure pipeline upgrades and new pipelines are properly implemented in our production workflow manager; • Assist collaborators with data access, analysis, and interpretation; • Interact daily with other bioinformatics analysts/programmers; • Publish results in scientific journals and give presentations at conferences; • Participate in community outreach. Position Requirements • Bachelor’s degree in bioinformatics, computational biology, genetics, computer science or similar with at least 2 year’s work/research experience, or a Master’s degree; • Experience in python and R required, as well as willingness to learn new programming languages as necessary to collaborate at NYGC; • 1+ years’ experience working with next generation sequencing data preferred (ideally human genomics), including experience using standard RNASeq analysis software (including samtools, GATK, Picard, bedtools, etc); • Excellent written and verbal communication skills required. The requirements listed are representative of the knowledge, skill, and/or ability required for this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Don’t meet every single requirement? Studies have shown that women and minorities are less likely to apply to jobs unless they meet every single qualification. At NYGC we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 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. We prefer a candidate who can work onsite fulltime, but we are open to a hybrid remote work arrangement for this position, with supervisory approval. Salary The pay range for this position is $82-105k per year; base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center 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 Diversity, equity, and inclusion are central to the core mission at the NYGC. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYG employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery – fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization. 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 visa sponsorship and relocation assistance

Responsibilities: - Will be responsible for leading mRNA data analysis, RNAseq based screens, and mRNA biology related discovery... - Analyze internal and external data sets to address biological questions - Work closely with other computational and experimental scientists to design experiments - Write custom programs and algorithms to support data analyses and discovery - Works with staff on scientific programming and experimental design - Collaborate with scientists to design, analyze, manage and interpret all types of data