Bioinformatics Jobs

Job Description Make a difference every single day... At Cedars-Sinai, we're motivated by a collective spirit of innovation and the challenge to continuously improve. Above all, we share a real passion for helping others. Day after day, from department to department, our people give their all to create a community unlike any other. This is just one of the many reasons U.S. News & World Report has named us one of America’s Best Hospitals—and now we invite you to join us and make a difference every single day in service of this outstanding work – excellence and innovation in patient care, research, and community service. From working with a team of dedicated professionals to using state-of-the-art facilities, you’ll have great resources to do something incredible—for yourself, and for others. What will you be doing in this role? The Clinical Bioinformatician works under the strategic guidance of the Division Director. Develops and maintains bioinformatics tools and pipelines, contributing to the enhancement of genomic data analysis and interpretation. The Clinical Bioinformatician aids in the division's quality management program and strives for operational excellence. Working alongside faculty and the operations team, contributes to aligning bioinformatics efforts with the division's goals, meeting both immediate needs and long-term objectives. The Clinical Bioinformatician is committed to patient care, applying bioinformatics practices with an understanding of the patient population's needs to positively impact clinical outcomes. #Jobs-Indeed Primary Duties and Responsibilities: • Performs data analyses for clinical genomics testing, including quality control functions consistent with the Division's Quality Management Plan. • Designs, develops, implements, and maintains bioinformatics analysis pipelines for clinical genomics service, including NGS. Designs, develops, implements, and maintains tools for data mining and quality control of clinical genomic testing in accordance with the Division's Quality Management Plan. • Collaborates effectively with faculty, variant scientists, and laboratory operations teams to support the efficient delivery of clinical services. • In collaboration with faculty and operational leadership, effectively adjusts priorities according to the workload and to meet the needs of the Division. • Aligns to business and/or operations plans, contributes to process improvement, and participates in design and implementation of new testing. • Keeps abreast of the latest developments in bioinformatics, computational biology, and clinical genomics to assist in identifying, evaluating, and incorporating relevant algorithms and software. Qualifications Requirements: • Bachelor's Degree in Bioinformatics, computational biology, or related field. • Doctorate Degree in Cancer genetics, human genetics or applicable biological science is preferred. • One (1) year of experience in developing, implementing, and maintaining NGS pipelines. Familiarity with common amplicon-based and/or hybrid capture sequencing bioinformatics. • Three (3) years of experience in developing, implementing, and maintaining NGS pipelines in a clinical setting is preferred. Req ID : 2857 Working Title : Clinical Bioinformatician, Molecular Pathology Department : Molecular Pathology Business Entity : Cedars-Sinai Medical Center Job Category : Clinical Operations Job Specialty : Clinical Operations Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $89,086.40 - $142,542.40

Overview Join the HJF Team... HJF is seeking a Bioinformatics Scientist to support research at the Bioinformatics High Computing Software Applications Institute (BHSAI) in Frederick, MD. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and saupporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities • Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. • May design databases and develop algorithms for processing and analyzing genomic information, or other biological information. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Qualifications Education and Experience • Master's Degree in Computer Engineering, Computer Science, Information Technology, or related fields is required. • At least 1 year of experience in occupations of Bioinformatics Data Architect, Software Developer, Computer Systems Analyst, Programmer Analyst, Bioinformaticist, Research Associate, Research Scientist, Scientific Database Curator, Bioinformatics Technician, Biostatistician, Data Scientist, or related. Required Knowledge, Skills and Abilities • Work experience with RDKit, MarvinJS, Chemaxon Postgres Cartridge, Visual Studio, Knime Workflow Editor, Python and Docker. Work Environment • This position will take place primarily in an office setting. We offer competitive salaries and benefits. Travel may be required. Please apply online at hjf.org/careers Job No: 2024-4466 or email resumes to careers@hjf.org referencing the job number in the subject line. Some HJF employees are required to be fully vaccinated against COVID-19. Proof of vaccination or an approved religious or medical accommodation will be required. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer

Full-time experimental postdoctoral fellow positions are available in Professor Yiwen Chen's lab. Dr. Chen's lab focuses on deciphering the cell signaling, epigenetic/epitranscriptomic and RNA-based regulation mechanism of cancer immunology in solid tumors, neural stem cells and cancer stem cells of brain tumor. The Chen lab has great expertise in combining computational with high-throughput... approaches such as single-cell multi-omics profiling (e.g., scRNA-seq and Perturb-seq), CRISPR/Cas9, mass spectrometry, ChIP-seq, RNA immunoprecipitation (RIP)-seq, eCLIP-seq (enhanced CrossLinking and Immunoprecipitation followed by high-throughput sequencing) and Ribosome Profiling (Ribo-seq), to decipher cryptic translation of the non-canonical open reading frames (ORFs) and/or noncoding RNA (ncRNA)/RNA-binding protein (RBP)-mediated regulatory circuitries. The experimental postdocs will leverage the high-throughput assays developed/established in the lab to study the cell signaling, epigenetic/epitranscriptomic and RNA-based regulation that is important for tumor immunity in solid tumors, neural stem cells and cancer stem cells of brain tumors, as well as develop T cell-based and/or combinatorial cancer immune therapies. The former postdoctoral trainees from the Chen lab have excelled in both academia and industry, including 4 past/current postdoctoral trainees from Chen lab who are/will become a faculty in U.S. or China. Chen lab representative publications include: Nature Structural & Molecular Biology (2023, PMC10716047), Science (2023, PMID: 37676964), Science Advances (2023, PMC10403220), The Journal of Clinical Investigation (2023, PMC9974104), Journal of Experimental Medicine (2021, PMC7543092), Genome Biology (2021, PMC8381491), The Journal for ImmunoTherapy of Cancer (2021, PMC7887353), Nature Methods (2018, PMC5967874), Nature Genetics (2017, PMID: 27841882), Nature Communications (2017, PMC5701008), and Trends in Genetics (2016, PMC4805481). LEARNING OBJECTIVES The postdoctoral trainee will learn how to conduct highly interdisciplinary research at the interface of computational/functional genomics, RNA biology, cancer biology, cancer immunology and neural stem biology. He/she will also learn how to perform translational research in collaboration with basic scientists and physicians. ELIGIBILITY REQUIREMENTS Applicants should have a Ph.D. degree (or equivalent) in biomedical sciences. Strong background in one or more of the following areas: molecular biology; protein/RNA biochemistry; transcriptional/epigenetic regulation; cell signaling; virology; immunology; T-cell biology; cancer biology. Mouse model experience and bioinformatics/genomics/proteomics expertise are not required, but highly desirable. All applicants should have good spoken and written communication skills. ADDITIONAL APPLICATION INFORMATION Interested applicants should send i) a cover letter briefly describing your previous experience and your future research interest/plan, ii) a curriculum vitae, and iii) contact information of at least three references to Dr. Yiwen Chen (ychen26@mdanderson.org). POSITION INFORMATION MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience. MD Anderson offers compensated trainees: - Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week - Group Dental, Vision, Life, AD&D and Disability coverage - Paid Education Vacation and Sick Leave - Paid institutional holidays, wellness leave, childcare leave and other paid leave programs - Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans - Employer paid life, AD&D and an illness-related reduced salary pay program - Health Savings Account and Dependent Care Reimbursement flexible spending accounts - Fertility benefits - State of Texas longevity pay - Extensive wellness, fitness, employee health programs and employee resource groups

Dr. Xiaoqing Yu’s Lab, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center, is seeking a highly motivated, independent, and collaborative postdoctoral research fellow interested in conducting exciting inter-disciplinary projects in omics data analysis and cancer biomarker discover. The post-doctoral research fellow will also be co-mentored by Drs. Jamie... Teer, Xuefeng Wang. The positions will remain open until filled. Position Highlights: • Work on unique, multi-omics datasets to support translational lung cancer research. • Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data. • The position is essential for development of comprehensive tools benefiting basic to clinical research through identification of novel biomarkers to treat cancer and the improved treatment stratification of cancer patients. • The postdoctoral research fellow will enjoy a close working relationship with bioinformaticians, statisticians, clinicians, translational researchers, as well as bench scientists to establish a well-rounded multidisciplinary team. • Moffitt integrates excellent patient care with cutting-edge clinical and basic research. Having a cancer hospital on-site provides unique opportunities for translational research. • Outstanding mentorship from expert faculty with wide-ranging funded research programs including T32 Training Grants. • You will be encouraged and supported to apply for training grants. The Ideal Candidate: • Experience of analysis and integration of multi-omics data (e.g., DNA-seq, RNA-seq, proteomics). • Research background/experiences in Bioinformatics, Statistics, Computational Biology, or Machine Learning. • A highly motivated and independent researcher with a strong quantitative scientific background. • Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems. • Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable. • Excellent communication and writing skills. • Experience of single-cell RNAseq, spatial transcriptome data, is preferred. Responsibilities: • Develop bioinformatics pipelines for analyzing high dimensional immunological data. • Develop novel visualization tools for interpreting big cancer Omics data. • Discover new predictive biomarkers for cancer prognosis. • Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data. • Supports the full life-cycle of omics data: experimental design, data quality control, bioinformatics analysis, biological interpretation of results, and delivery. • Collaborate on a variety of cancer and bioinformatics research projects. Credentials and Qualifications: PhD in Bioinformatics, Statistics/Biostatistics, Computational Biology, Data Science, Machine Learning, or related fields. Moffitt Postdocs are provided with Medical (Moffitt covers premium for team member) effective upon start date and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. You may be eligible for relocation assistance per policy. Reasons to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. We strive for work/life balance. If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you. How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Xiaoqing Yu (xiaoqing.yu@moffitt.org

OPS Bioinformatics Technician Job No: 531754... Work Type: Temp Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science Department: 11600101 - RE-ICBR-BIOINFORMATICS Job Description Classification Title: OPS Bioinformatics Technician Job Description: • Scientific software development using Python, R, and Bash to support analytical activities that include scripting, visualization, and reporting in a high-performance computing environment. • Management of large datasets, developing automated procedures for data storage, archival, and delivery. • Other duties as required. Expected Salary: $18 - $21 per hour, commensurate with education and experience Minimum Requirements: A bachelor's degree in an appropriate area of specialization and two years of experience. Preferred Qualifications: • Master's degree in Bioinformatics, Computational Biology, or related discipline. • Knowledge of Python, R, and Bash scripting, with demonstrable proficiency in at least one. • Experience with scientific data visualization. • Familiarity with Unix-based high-performance computing environments. • Familiarity with pipeline development frameworks (e.g. Nextflow). • Experience with NGS data analysis including bulk and single cell RNASeq. • Ability to communicate clearly and effectively with employees and customers. • Ability to willingly accept constructive criticism from supervisor. • Self-motivated, positive individual. • Ability to work effectively in a dynamic, team-oriented environment. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: 06 Jun 2024 To apply, visit https://explore.jobs.ufl.edu/en-us/job/531754/ops-bioinformatics-technician 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-24ffffa139b5c14c9ecafad4de9124b4

Tellus Solutions is in partnership with a committed biopharmaceutical company focused on providing innovative therapies. Your technical expertise as a Bioinformatics/ Computational Biologist in the area of curating/ analyzing GWAS and genetics data, and transcriptomics data which will impact the quality and duration of life. Job Description... • Role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics. • A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories. • The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists. They will apply, refine, and expand established workflows for effective multi-omic data curation and analysis. Key Responsibilities: • Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency. • Annotate genomic variants using established tools and databases. • Map SNPs to genes and determine their functional relevance. • Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights. • Collaborate intimately with research teams to comprehend specific data requirements and applications. • Curate, maintain, and contribute to the project codebase. Qualification: • Masters with 1+ year of experience or PhD degree in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). • Proven capability in designing and implementing bioinformatics workflows and corresponding github codebase repositories. • in R programming and comfortable operating in a Unix/Linux and High-Performance Computing (HPC) environment. • Familiarity with genome-wide association studies, particularly in fine mapping and colocalization from GWAS summary data is expected. • Hands-on experience in curating and processing transcriptomic datasets, especially bulk and single-cell RNA-Seq, with the ability to conduct corresponding downstream analyses would be advantageous. • Knowledge and proficiency in basic statistical concepts, e.g. p-value, odds ratio, effect size, multiple testing correction, familiarity with Bayesian approaches employed for colocalization analysis would be advantageous. • Previous experience in immunological diseases or rare disease genetics is a plus

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Details for the position are as follows: • Location: 100% remote bust be okay generally working CST time zone hours. • Rate: $40-45 an hour depending on experience... Job Description: This role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics. A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists. They will apply, refine, and expand established workflows for effective multi-omic data curation and analysis. • Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency. • Annotate genomic variants using established tools and databases. • Map SNPs to genes and determine their functional relevance. • Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights. • Collaborate intimately with research teams to comprehend specific data requirements and applications. • Curate, maintain, and contribute to the project codebase. Required Skills: • Masters degree with 1+ year of post grad bioinformatics experience or PhD with 0+ years of experience. • R programming for bioinformatics workflow required. • GWAS / genetics / transcriptomic data curating and analyzing • HPLC or cloud environment experience required • Immunology or rare disease genetics a plus

Department Profile TGH Information Technologies invests over $100 million annually on technology and services. Over 75 percent of the department's team members hold professional certification in technology and IT-related functions. Tampa General has earned numerous awards for health information technology, including the prestigious "HIMSS Stage 7 Award" issued to less than four percent of all... hospitals in the country, and Hospital and Health Network's "Most Wired - Advanced" award for the past several years. TGH's Information Technologies division earned "Best Hospital IT Department" by Healthcare IT News. Job Summary The Director of Bioinformatics will develop and maintain Bioinformatics Core (BIC) in order to advance and integrate precision medicine approaches into the clinical and research missions of Tampa General Hospital across all entities. The Director will develop a vision and strategy for the BIC in order to manage, analyze and integrate diverse data streams (genomics, proteomics, metabolomics) to support academic and clinical missions of TGH community. Responsibilities include recruiting, training, and supervising staff and organizing the Information Technologies infrastructure to execute core BIC objectives. The BIC team will support researchers across the hospital and academic communities by providing services including but not limited to data management , multi-omic data analysis and modeling, development and application of novel state of the art algorithms and integration of data-driven approaches with patient care and hospital operation work flows. Responsibilities: • Recruit a team of bioinformaticians and research analysts. • Develop and oversee new collaborations such as, submission of new grants that cover bioinformatics effort, development of new internal or external collaborative agreements. • Develop and promote the funding model for expansion and sustainability of the core, including investments from organizational units around the community, charge-back models and collaborative grant applications to ensure long term sustainability. • Collaborate with clinical and translational investigators to develop and support appropriate research teams Follow institution guidelines, utilize good clinical and basic science research practice, and identify and ensure compliance with relevant regulatory requirements for agencies such as FDA, NIH, etc., and associated reporting requirements. Lead and collaborate on grant applications related to bioinformatics core projects. • Conduct data management and appropriate analysis, create reproducible and transparent code, check and/or verify results (QC) based on provided specifications, learn about new data structures and train and supervise junior bioinformaticians to perform these tasks. • Work with collaborators to develop a clear understanding of the scope of a project/task, expected deliverables, and develop strategies to address challenges in the research process. • Use analytical, algorithmic, and scientific understanding to propose and perform analyses and independently write the methods and analysis sections of reports/manuscripts. • Design and develop guidelines and processes to ensure the highest level of quality and efficiency. • Participate in leading national and international efforts aimed at establishing best practices and standards for -omics basic science and integration with clinical data representation and analysis. • Learn, implement, and stay knowledgeable about state-of-the-art methodologies. • Create deliverables that could serve as standards for quality and innovation in broader communities, building informatics tools for data management, -omics and imaging analyses within the reality of clinical data integration. • Provide best practice bioinformatics services to investigators across campus, including pre-experiment/grant consulting, application and training on the use of bioinformatics core software tools, and integration of user-generated and large-scale public data sets. • Develop a culture focused on breakthroughs, innovation, and contribution to the scientific community • Doctoral degree (PhD) in bioinformatics, biostatistics, computer science, and/or a closely related discipline required. • 5-8 years experience leading innovative research projects and establishing research collaborations with academic medical centers and industry research consortiums including multiple bioinformatics data types and algorithms. • Proven track record with the timely execution of bioinformatics projects. • Thorough knowledge of current and upcoming developments in the analysis and integration of multi- dimensional data. • Proven managerial skills, as evidence by 5-8 years supervisory/management experience and a strong focus on efficient project management. • Excellent communication skills as evidence by written and verbal reporting, presentations at conferences and publications in leading peer-reviewed journals. • An ability to articulate program to leadership and faculty. • Thrive on scientific challenges, enjoy collaborating with an interdisciplinary team and excel at communicating and coordinating between computational and wet-lab scientists. • Extensive knowledge of public domain bioinformatics data sources, accessible -omic databases, genomics tools, single cell analyses, and gene expression analysis. • Evidence of software development experience and proficiency in scripting; Experience with SQL or other relational database systems, Unix and mixed operating systems environments, high-dimensional data management and analysis. • Experience developing AI/ML algorithms to extract relevant features from large multi omics and multimodal datasets and developing classifiers. • Proficiency in R, Python, and SAS

The Research Data Analyst I will be working closely with Dr. Jennifer Permuth and other faculty in Moffitt's Department of Gastrointestinal Oncology Position Highlights... The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program. The Ideal Candidate: • Familiarity with Next Generation sequencing • Familiarity with other high-throughput bioinformatics data • Familiarity with high dimensional data wrangling • Familiarity with analysis techniques including machine learning, parallelization, and out-of-memory computation in a cluster environment, image processing, and high dimensional data visualization. • Have a working knowledge of cloud-based architecture and software engineering skills needed for the creation of IT infrastructure, such as dashboards and data visualization tools and clinical trial matching and personalized medicine capabilities. Responsibilities: • Works closely with the Principal Investigator(s) to manage and analyze data • Design, develop and deploy high performance computational software in the cluster to facilitate research to the PI. • Develop and utilize appropriate software methodologies for emerging genomic technologies • Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle • Benchmark new tools for high dimensional data analysis as well as develop and apply novel analytic approaches to existing molecular epidemiology data • Aid in the design and maintenance of a cloud-based curated DataMart for the GI Oncology Program and fulfill honest broker/concierge level responsibilities. Credentials and Qualifications: • Bachelor's Degree in Biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field with 2 years of relevant experience is required • Completion of an intense data boot camp is equivalent to 1 year of experience. • OR Master's Degree in biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field is preferred. • Proficiency with Microsoft Office software, Unix environment, and statistical packages such as R, Python, SAS or other relevant software. • Familiarity with Next Generation sequencing or other high throughput bioinformatic data, high dimensional data wrangling and analysis techniques