Associate Computational Scientist

About the role

Under the supervision of either a senior level (Sr to Principal) scientist or one of the Director/Associate Director/Manager in Computational Sciences, Associate Computational Scientists participate in the collaborative bioinformatics program aligned with institutional strategy and direction and make leading contributions to the cutting edge projects at The Jackson Laboratory.

Responsibilities

• Perform computational analysis of omics data, algorithm development and implementation, and bioinformatics programming under minimal supervision.
• Evaluate data for quality assurance and mine bioinformatics databases.
• Present results at international conferences and workshops.
• Contribute to the education and training courses conducted by CS and The JAX for internal as well as external communities.
• Start demonstrating strong potential to develop analytical expertise to a few selected biological disciplines, independent collaboration and project leadership.
• Participate in departmental and project activities such as developing pipelines, participating in conducting courses and workshops at JAX, providing leading contributions to grant applications, helping students and scientists, possibly participating in CS Helpdesk, and presenting results and processes to JAX community and at conferences and workshops as assigned.

Requirements

PhD in Bioinformatics, Computer Science, Biostatistics or any relevant area. Near completion of PhD candidates can also apply. In addition to PhD, possess 2-5 years of experience in Bioinformatics research, excluding time spent to obtain PhD. Demonstrate excellent verbal and written communication skills. Demonstrated experience managing projects and collaborations is key. Prior successes in and desire to contribute to team projects on an ongoing basis is a must.

Qualifications

• Knowledge and experience in High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), microarray data analysis, high content imaging (HCI) data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the research community.
• Continuous learner and proactive contributor.
• Make leading contributions to grant applications.

Skills & Abilities

• Excellent verbal and written communication skills.
• Demonstrated experience managing projects and collaborations.
• Prior successes in and desire to contribute to team projects on an ongoing basis.

Benefits

The Jackson Laboratory offers competitive compensation and benefits including health insurance, retirement plans, and paid time off.

Pay

$98885 - $165554

Schedule

Full-time

About JAX

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and 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. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community.

EEO Statement

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.