Bioinformatics Jobs

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

Bioinformatics Analyst III Job No: 526592... Work Type: Staff Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science, Computer Science, Information Technology, Artificial Intelligence, Engineering, Physical/Mathematical Sciences Department: 29240101 - MD-HOBI-GENERAL Job Description Classification Title: Bioinformatics Analyst III Job Description: The Biomedical Informatics Program (BMI), hosted within the Department of Health Outcomes and Biomedical Informatics (HOBI) and closely affiliated with the Clinical and Translational Science Institute (CTSI), engages in a wide variety of informatics research and service across the University of Florida. Service initiatives include building out the informatics infrastructure for the OneFlorida + Clinical Research Network; genomics infrastructure; and cohort construction. This position will serve as a Bioinformatics Analyst III and will work under the guidance of Dr. Rui Yin and Dr. Jiang Bian, in collaboration with senior programmers, to fulfill the research and service missions of the BMI program, especially for bioinformatics projects. In particular, the incumbent will lead the software development of a genomics data pooling infrastructure and other related projects. Strong expertise in bioinformatics software development is necessary to fulfill the duties of this position. Duties to Include: Participate in the creation of a novel pipeline that meets the needs of the genomics data pooling infrastructure and other related projects by working with an interdisciplinary team of bioinformaticists, software developers, information quality experts, statisticians, and researchers during software development. Handle data queries from researchers and apply software applications to pre-process EHR and genomics data and extract data elements required by researchers. Assist with the development of technical project proposals to build new software or deploy and update existing software used in data cleanup, ETL, and related tasks. Participate in the design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers, and journal articles are expected, including documentation of the method, presentation of data, and participation in the interpretation of results. Assist with the workflow of incoming data requests and other processes around the management, transformation, and analysis of data. Recommend and assist with the development of workflow and process changes to enhance the efficiency of tracking and delivery. Participate and contribute to the communication of requests and results delivery. Assist with the management of data governance around data sets. Expected Salary: $70,000 to $95,000 Minimum Requirements: A master's degree in appropriate area of specialization and two years of experience or a bachelor's degree and four years of experience. Preferred Qualifications: • Familiarity with Whole Genome Sequencing and Whole Exome Sequencing data, as well as workflows and pipelines. • Familiarity with computing platforms/tools, including but not limited to AWS, AWS Omics, Nextflow, Snakemake, etc. • Experience in machine learning modeling or GWAS analysis. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. This is a time limited position. Application must be submitted by 11:55 p.m. (ET) of the posting end date Health Assessment Required: No Applications Close: 01 May 2023 To apply, visit https://explore.jobs.ufl.edu/en-us/job/526592/bioinformatics-analyst-iii The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. jeid-8886eb3614e83d49a4dd0fe957ab994b

Job Description The Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health at the University of Maryland School of Medicine (UMSOM) is recruiting for a Bioinformatics Specialist (IS). The IS functions as a collaborator who applies bioinformatic and statistical expertise to the design, implementation, analysis, interpretation, and reporting of research and... clinical omics studies in various disease fields, including but not limited to cancer, cardiometabolic diseases, and Alzheimer’s Disease. The work is performed under the supervision of the Lead Bioinformatician faculty PI at the University of Maryland Greenebaum Comprehensive Cancer Center. The successful candidate will become a fundamental component of a multidisciplinary, inter-institutional team. The Division of Biostatistics and Bioinformatics is the UMSOM hub for biostatistics and bioinformatics. We also house the Biostatistics and Bioinformatics Shared Service of the UM Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC) as well as being one of the UMSOM Center for Innovative Biomedical Resources (CIBR) core facilities. UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. Exempt regular staff receives a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, unlimited accrual of sick time, comprehensive health insurance and retirement options; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school; and flexible work schedules and teleworking options (if applicable per job). Essential Functions: Master’s degree in bioinformatics or a related field with an emphasis on analytical omics expertise with at least two (2) years of relevant research specialization. Other degrees will be considered if candidates have relevant experience or coursework that shows analytical skills. Skills and knowledge in a variety of bioinformatics and computational biology tools and techniques to analyze genomics, proteomics, and metabolomics data (omics technologies). Strong programming skills to develop novel analytical tools as needed by projects, including but not limited to Python, R, SAS, STATA, and cloud computing infrastructure. Basic training in statistical methodology. Familiar with commonly used public bioinformatics databases. "Self-Starter" attitude with the ability to work in dynamic work environments. Team player attitude with a willingness to lead when necessary. Ability to prioritize and organize various tasks on projects. Excellent spoken and written communication skills. Experience with Microsoft Office Suite. Qualifications Education: Master’s degree in bioinformatics or related fields. Ph.D. degree preferred. Experience: Ability to develop informatics strategies customized to individual projects with minimal supervision. Other: Research experience with cancer, heart disease, or Alzheimer’s disease fields. Knowledge, Skills, and Abilities: Familiarity with sing-cell omics technologies. Knowledge of cloud technologies such as AWS or Google Cloud. Experience in data mining and machine-learning algorithms. Presentation of research results using data visualization techniques. Hiring Range: $108,000 - $114,000. UMB is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. For assistance related to employment, please contact the Staffing department at HRJobs@umaryland.edu. If you anticipate needing a reasonable accommodation for a disability under the Americans With Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contact HRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address. Job: Reg or CII Exempt Staff Shift: Day Job Organization: School of Medicine - Epidemiology and Public Health Job Posting: Apr 17, 2023 Unposting Date: May 17, 2023, 10:59:00 PM

Responsibilities : NGS data analyst for pipeline development, testing and computational biology support... Required Skills: Strong background in NGS bioinformatics • R and/or Python programming (+ RStudio/Jupyter Notebooks) Preferred Skills: Experience with Git

AbbVie’s Genomics Research Center Computational Genomics is looking for a highly motivated computational biologist (Senior Scientist I/II, Bioinformatics) to join a team of bioinformatics scientists investigating aging and age-related diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, and human genetics. The GRC works across all R&D including discovery and... clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy. The ideal candidate will be an experienced computational biologist with extensive experience in designing and implementing bioinformatics methods as well as analysis and interpretation of various types of omics data to solve biological and clinical problems. The candidate should be familiar with developing and improving genomic data workflows on large NGS datasets, contemporary data visualization methods, as well as writing clean, well-documented, efficient code in R, bash, and python. Candidates should have demonstrated proficiency in a Linux environment and high-performance distributed computing and should be knowledgeable in the areas of statistical inference. Individuals with experience interpreting biological data related to understanding human disease biology, drug target identification, or treatment mechanism of action are preferred. The successful candidate will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical methods, and communicating scientific findings to internal and external stakeholders. In addition, the candidate may contribute to presentations at scientific conferences, publications in peer-reviewed journals, and regulatory filings. • MS, or Ph.D in Bioinformatics, Computer Science, Biostatistics, or related field, with at least 8+ (MS), 0-2 (Ph.D) years of relevant experience • A high degree of technical competency and strong communication ability, as well as fluency in 2 or more relevant programming languages, such as R, Python or Java. • Candidates should be experienced with high-throughput omics technologies such as gene expression transcriptomics, enrichment analysis, proteomics, metabolomics, epigenomics etc. • Knowledge around contemporary data visualization methods like R Shiny, or Spotfire; as well as experience in database management in SQL, SQLite, or MongoDB • Strong communication skills in a cross-site and collaborative environment Additional skills preferred: • Experience analyzing and interpreting gene expression data for understanding disease mechanisms and model organism prioritization • Background in analyzing and understanding human disease biology with omics data across multiple tissues from affected patients and mouse models • Experience handling, visualizing, recording, and managing data with SQL or other enterprise solutions • Fluency with public data repositories like GEO, SRA, and ArrayExpress and mouse model repositories (mgi); familiarity with genomic databases (such as those relating to genome annotation), genetic variants, or consortium disease specific (like the Accelerating Medicines Partnership - Alzheimer's Disease, the Cancer Genome Atlas). Key Leadership Competencies: • Builds strong relationships with peers and cross functionally with partners to enable higher performance • Learns fast and can adapt quickly to reprioritization of tasks • Raises the bar and is never satisfied with the status quo • Creates a learning environment, open to suggestions and experimentation for improvement • Embraces the ideas of others; nurtures and manages innovation to reality • Strong interpersonal and communication skills with demonstrated ability to work within a team environment Additional Information • Significant Work Activities and Conditions: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8-hour day) • Travel: No • Job Type: Experienced • Schedule: Full-time Equal Employment Opportunity Employer At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic. AbbVie is an equal opportunity employer including disability/vets. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours

Title: Contractor, Bioinformatics Scientist Location: FC - Hybrid ... Specific Responsibilities and skills for Position: We are seeking a highly talented and motivated Bioinformatics Scientist to support drug discovery and development efforts in Virology. The candidate will work in a highly productive team environment in collaboration with other Research functions to create data analysis tools for investigation of viral and immunological drug targets. The individual will collaborate with Biologists and other Bioinformatics Scientists on projects to explore viral sequencing, viral evolution and diversity, host immune datasets, and responses to small molecules and biologics. Required Knowledge, Experience and Skills: • Thorough understanding and interest in biology/immunology with the demonstrated ability to contribute to scientific efforts focused on understanding diseases • Background in next-generation sequencing data analysis • Strong programming and scripting abilities in languages such as Python, R, C++, C#, Java • Experience with open-source bioinformatics tools / packages (GATK, Bioconductor, etc) • Strong organizational and communication skills Desired Knowledge, Experience, and Skills: • Knowledge of virology and immuno-informatics tools and datasets • Experience in database design and writing queries for SQL and document databases • Experience evaluating genetic variation in populations using phylogenetics Specific Education and Experience: • A new PhD or 3+ years of experience with MS degree in bioinformatics, computer science, computational biology, genomics, or a related field. Top 3 Required Skill Sets: Next Gen Sequencing Analysis, Bioinformatics Analysis Tools, Programming Top 3 Nice to Have Skill Sets: Phylogenetics, Immunology Analysis Tools

Title: Contractor, Bioinformatics Scientist Job justification... We are requesting to open a new contract position in Clinical Virology (Foster City). The Clinical Virology Bioinformatics team needs an additional resource to cover for two Bioinformatics Scientists who are planning to take extended leave. The individual will be critical to maintain ongoing data analysis of sequencing results and other datasets to support clinical virology data submissions. Specific Responsibilities and skills for Position: • We are seeking a highly talented and motivated Bioinformatics Scientist to support drug discovery and development efforts in Virology. • The candidate will work in a highly productive team environment in collaboration with other client Research functions to create data analysis tools for investigation of viral and immunological drug targets. • The individual will collaborate with Biologists and other Bioinformatics Scientists on projects to explore viral sequencing, viral evolution and diversity, host immune datasets, and responses to small molecules and biologics. Required Knowledge, Experience and Skills: • Thorough understanding and interest in biology/immunology with the demonstrated ability to contribute to scientific efforts focused on understanding diseases • Background in next-generation sequencing data analysis • Strong programming and scripting abilities in languages such as Python, R, C++, C#, Java • Experience with open-source bioinformatics tools / packages (GATK, Bioconductor, etc) • Strong organizational and communication skills Desired Knowledge, Experience, and Skills: • Knowledge of virology and immuno-informatics tools and datasets • Experience in database design and writing queries for SQL and document databases • Experience evaluating genetic variation in populations using phylogenetics Specific Education and Experience: • A PhD or 3+ years of experience with MS degree in bioinformatics, computer science, computational biology, genomics, or a related field

University of Idaho Research Scientist I or II, Bioinformatics... Location: Moscow Division/College: University Research Employee Category: Exempt Pay Range: Commensurate with Experience FTE: 1 Full/Part Time: Full Time Position Summary: Research Scientist I Serves as an independent researcher, or a collaborator on a multi-scholar research initiative. May have lead responsibility for discrete components of a larger project under the general direction of a senior or principal researcher. Supports the Drug Discovery Working Group in the Institute for Modeling Collaboration and Innovation with their goal of developing novel antifungals to mitigate fungal diseases of Idaho crops. This researcher will undergo a thorough bioinformatics analysis of genome sequence data from specific fungal pathogens to identify biological processes and proteins as novel targets for the development of antifungals. Serves as an independent researcher, or a collaborator on a multi-scholar research initiative. May have lead responsibility for discrete components of a larger project under the general direction of a senior or principal researcher. Duties may include: • Performing complex scientific analyses • Adjusting experimental designs as necessary based on experimental data analysis • Directing the development of recommendations for project solutions • Performing peer review of scientific projects, studies, or applications and making recommendations • Preparing peer reviewed publications or presentations • Resolving complex project specific technical and regulatory issues • Establishing work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work • May be responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents • Participating in the development of grant proposals as named project contributor • Other duties as assigned Research Scientist II Designs and manages all aspects of a research portfolio complimentary to that of other research scientists or research faculty. Often maintains active research collaborations external to the university. Supports the Drug Discovery Working Group in the Institute for Modeling Collaboration and Innovation with their goal of developing novel antifungals to mitigate fungal diseases of Idaho crops. This researcher will undergo a thorough bioinformatics analysis of specific fungal pathogens to identify biological processes and proteins as novel targets for the development of antifungals. Designs and manages all aspects of a research portfolio complimentary to that of other research scientists or research faculty. Often maintains active research collaborations external to the university. Duties may include: • Planning and conducting research in accordance with stipulated protocols and quality and safety standards. • Performing complex scientific analyses. • Developing new methods and guidelines for procedures. • Directing the development of recommendations for project solutions. • Performing peer review of scientific projects, studies, or applications. • Developing technical scientific management guidelines. • Writing peer reviewed publications or presentations. • Resolving complex project-specific technical and regulatory issues. • Establishing work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work. • Responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents. • Participating in the development of grant proposals as named project contributor or primary investigator. • May have an independent research program that is complimentary to research objectives of a broader research group or department within the institution. • May include supervision of junior-level staff and students; does not include a full range of supervisory responsibilities. • Other duties as assigned Minimum Qualifications: Research Scientist I • Doctoral degree in Bioinformatics or related field; A master’s degree plus an additional two years of research experience may be substituted for a Ph.D. Research Scientist II • Ph. D in Bioinformatics or related field Research Scientist I • Three years of research experience related to the domain of this position Research Scientist II • Five years of research experience beyond receipt of doctoral degree • Demonstrated record of research achievement • Participation in the development and submission of sponsored project proposals Preferred Qualifications: Research Scientist I • Demonstrating ability to work independently and with an interdisciplinary team. • Record of 3 or more lead-author publications in peer reviewed journals in a relevant field. • Record of writing proposals and acquiring externally funded grants. • Experience with structural biology. • Wet lab experience in microbiology, molecular biology and/or biochemistry. Research Scientist II • Demonstrating ability to work independently and with an interdisciplinary team. • Record of 10 or more lead-author publications in peer reviewed journals in a relevant field. • Experience serving as PI or Co-PI on extramurally funded research. • Record of writing proposals and acquiring externally funded grants. • Experience with structural biology. • Wet lab experience in microbiology, molecular biology and/or biochemistry. Physical Requirements & Working Conditions: Required Licensures, Certifications or other Posting Number: SP003885P Posting Date: 04/18/2023 Closing Date: Open Until Filled: Yes Special Instructions: Preferential review of applicants will begin on May 2, 2023. Background Check: Applicants who are selected as final possible candidates must be able to pass a criminal background check. To apply, please visit: jobs.uidaho.edu EEO Statement University of Idaho is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer. jeid-70ed54c17360d54e9d499e0a8e0b2045

OPPORTUNITY Mammoth Biosciences is seeking a Bioinformatics Scientist II to join its growing team. The successful candidate will contribute towards Mammoth’s efforts to develop safe and effective therapeutic treatments for genetic diseases. The Scientist II, Bioinformatics will work closely with researchers, development teams and external partners to establish statistical analysis tools, help... design assays and produce insights on the effects of our novel CRISPR systems. The scientist will also interact closely with the computational team to define and use internal tooling. KEY RESPONSIBILITIES • Design statistical analysis pipelines for multi-omics data • Work closely with the platform team to help optimize our novel CRISPR system • Communicate solutions to a team of software and data engineers • Organize and present data in internal and external meetings • Other duties as assigned REQUIRED QUALIFICATIONS • PhD with 1+ years of experience, MS with 4+ years of experience, or BS with 6+ years of experience in Computer Science, Bioinformatics, Computational Biology, Biostatistics, or a related field • Experience in developing bioinformatic pipelines • Proficiency in Python • Proficiency in SQL • Experience using a digital LIMS system PREFERRED QUALIFICATIONS • Experience modeling lab assays with LIMS system, preferably using Benchling • Experience analyzing CRISPR related assays • Experience communicating and visualizing results to computational and scientific teams • Proficiency in R • Experience working with cloud resources in AWS • Experience working with workflow management systems (Prefect, Airflow, Nextflow) • Experience writing code in a production environment (CI/CD, testing) BENEFITS • Company-paid health/vision/dental benefits • Unlimited vacation and generous sick time • Company-sponsored meals and snacks • Wellness, caregiver and ergonomics benefits • 401(k) with company matching Salary Range: $127,946 - $147,000 The listed base salary range is for Mammoth employees in the Bay Area. Actual base salary will be determined by geographic work location, relevant professional experience, applicable skills, and internal equity. The base salary range for those working remotely outside of the San Francisco Bay Area may differ and will be determined by industry market data for the role and specific region. COMPANY Mammoth Biosciences is a biotechnology company focused on leveraging its proprietary ultracompact CRISPR systems to develop long-term curative therapies, as well as other applications such as decentralized precision diagnostics. Founded by CRISPR pioneer and Nobel laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington, the company’s ultracompact proteins are designed to enable in vivo gene editing in difficult to reach tissues utilizing both nuclease applications and new editing modalities beyond double stranded breaks, including base editing, gene writing, and epigenetic editing. The company is building out its pipeline of potential in vivo gene editing therapeutics and capabilities and has partnerships with leading pharmaceutical and biotechnology companies to broaden the reach of its innovative and proprietary technology. Mammoth’s deep science and industry experience, along with a robust and differentiated intellectual property portfolio, have enabled the company to further its mission to transform the lives of patients and deliver on the full promise of CRISPR technologies. It is our policy and intent to provide equal opportunity to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation. Mammoth Biosciences requires that all employees be vaccinated against Covid-19 as a condition of at-will employment, with exceptions for medical or religious reasons in compliance with local, state, and federal law

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. We are seeking a 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. Work closely with bench scientists to understand and help accomplish their research goals. Other duties as assigned. 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 Preferred Qualifications: Experience in Unix/Linux systems including HPC environments. Experience with genome analysis and/or data science using R / Bioconductor (preferred), Python, Julia, Jupyter. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, R/Bioconductor, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, bedpe, etc.). 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 City Law on Salary Transparency in Job Advertisements. The salary range for the role is $63,935.04 - $83,200.00 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