at The Jackson Laboratory in Bar Harbor, Maine, United States
The Computational Sciences (CS) Department at the Jackson Laboratory (JAX) seeks an experienced Computational Scientist to join our team. Under minimal supervision, the Computational Scientist will collaborate with JAX research faculty who are studying a variety of biomedical conditions, including cancer, diabetes, dementia, developmental abnormalities, and aging. The Computational Scientist will participate in grant submission, lead quantitative aspects of experimental design, select appropriate data analytical approaches, and perform cutting-edge computational analyses. They will prepare manuscripts, posters, and presentations describing the results. They will also provide training, technical mentorship, and assistance to other JAX students, staff, and scientific services.
Candidates should have expertise in High Throughput Sequence (HTS) data analysis (e.g., DNA-seq, RNA-Seq, ChIP-Seq, etc.), applied statistics, and bioinformatics programming. They will also have a good understanding of the molecular biology relevant to at least one major class of human disease (e.g., cancer, diabetes, dementia, etc.). The position may be filled at the Assistant, Associate, or full Computational Scientist level, depending on candidate qualifications and experience. Strong candidates will have a history of initiating collaborative research projects, project management, and technical mentorship. Experience evaluating differential splicing, chromatin structure, or spatial data is a plus.
Help maintain collaborations with JAX faculty and scientific services.
Provide expert reasoning tying together biological questions, experimental designs, measurement technologies, and data analytical approaches.
Lead quantitative aspects of experimental design.
Develop algorithms, software tools, and data processing pipelines.
Carry out reliable, reproducible, and appropriate data analyses.
Prepare manuscripts, posters, and presentations.
Annotate and manage experimental datasets, including properly securing controlled datasets.
Help present technical courses and workshops at JAX.
PhD in Bioinformatics, Computer Science, Biostatistics, or another quantitative field.
Exceptional candidates nearing the completion of their PhD may be considered for the Assistant level.
To be considered for the Associate level, you should have at least 2 years of relevant experience, excluding time spent to obtain your PhD.
To be considered for the full Computational Scientist level, you should have at least 5 years of relevant experience, excluding time spent to obtain your PhD.
Expertise analyzing high-throughput sequencing datasets. Experience with proteomics or metabolomics is a plus.
Solid understanding of basic applied statistics. Machine learning expertise is a plus.
Fluency with Unix/Linux systems, bash scripting, R and a general programming language like Python is expected. Familiarity with lower-level programming, high-performance computing, and cloud computing are pluses.
Good understanding of the molecular biology relevant to understanding at least one human disease (e.g., a type of cancer, diabetes, dementia, etc.).
To be considered for the full Computational Scientist level, you should have demonstrated success conceiving, initiating, and executing new scientific projects.
Interpersonal skills needed for collaborating with individuals representing a broad cross-section of cultures, technical disciplines, and levels of computational sophistication.
Good oral and written communication skills. Classroom teaching experience is a plus.
The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients' lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 "Best Places to Work in Academia" in the United States in a poll conducted by The Scientist magazine!
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for... For full info follow application link.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.