The Jackson Laboratory is seeking a Computational Scientist to join our Genome Technologies team. This position offers the opportunity to make leading contributions to cutting edge research in genomic technology development, genomic data production, human genomics, disease biology, and translational research.
About the Position: Computational Scientists participate in a collaborative bioinformatics program aligned with institutional strategy and direction, and make leading contributions to the cutting-edge projects at The Jackson Laboratory. Typical projects include analysis of high-throughput / next-generation sequencing data DNA Sequencing, RNA Sequencing, ChIP Seq, ATAC-Seq, etc from Illumina, PacBio, Oxford Nanopore and others. This role will entail data integration, evaluating analytical tools and technology, performing data QC analysis, developing novel algorithms or sequence analysis tools, discussing and determining experimental design, and delivering training to the research community. Specific projects will be selected based on candidate?s interest and skillsets. Responsibilities
Perform statistical analysis, algorithm implementation, bioinformatics programming (e.g. creating new pipelines or tools), running programs and packaging results for clients. Evaluate data for quality assurance; develop new metrics and methods to evaluate novel data types; evaluate analytical tools and technology, and deliver training to the research community Sustain collaborations with the research faculty and staff on both the Farmington, Connecticut and Bar Harbor, Maine campuses Working effectively in a team environment with individuals with varying levels of experience Contribute to the drafting of manuscripts and grants
PhD in Bioinformatics, Computer Science, Biostatistics, other related field Proven track record of omics data analysis, statistical genetics & biostatistics, independent collaborative work, and leading contributions to a biological discipline is preferred An in-depth knowledge of, and prior experience with, High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), experimental design, data integration, algorithm development, and development of sequence analysis tools (bioinformatics programming) Scientific curiosity, strong work ethic, and a passion for genomic technology and bioinformatic analysis Must have experience in bioinformatics research and demonstrated aptitude and capacity for developing bioinformatics expertise Demonstrated experience managing projects and collaborations Prior successes in and desire to contribute to team projects on an ongoing basis Excellent written and verbal communication skills, including the ability to present results to the JAX community, conferences, and workshops Must be continuous learners and proactive creative contributors eager to learn new technologies and science
The Jackson Laboratory is a nonprofit biomedical research institute with over 1,800 employees across three campuses nationwide. Our mission is to discover precise genomic solutions for human disease, and to empower the global biomedical community in the shared quest to improve human health. JAX's research institute in Connecticut, The Jackson Laboratory for Genomic Medicine (JAX-GM), is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX-GM?s research focuses on the complex genetic causes of disease, and on the development of genomic solutions tailored to each person's unique genetic makeup.
JAX-GM resides in the scenic town of Farmington, in the state?s capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns. JAX-GM is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems including bus lines, highways, railroads and international airports.
INTEGRITY - Courage and commitment to do what is right
PEOPLE - Inspiring our people to enhance the health of all
ONE TEAM - Unified by our promise to transform medicine and science
EXCELLENCE - Achieving world-class results
INNOVATION - Leading with discovery and creative solutions
STEWARDSHIP - Caring for and enhancing the resources entrusted to us
What do we have to offer?
JAX offers a dynamic and supportive work environment, competitive salaries and a comprehensive benefits package including a medical plan, outstanding retirement plan, generous paid time off and tuition reimbursement. JAX offers an MBA program, a fitness center with an award winning wellness program, and a fully operational primary care facility available to employees and their families.
Most importantly, every position contributes to JAX?s mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
Security Clearance Required: No Visa Candidate Considered: Yes Compensation Base Salary - excellent Full-time Benefits - Full Relocation Assistance Available - Yes Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - Yes Candidate Details 5+ to 7 years experience Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Doctorate Degree Willingness to Travel - Occasionally
Genome Technologies wants you to send your resume to Associated topics: amp, anatomic, genomic, hematopathologist, investigative, lab, laboratory, molecular, pathology, pth
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.