Remote Genomics & Multi-Omics Analytics SETA Advisor

Strategic Analysis, Inc.; Arlington (VA); Remote; USD 110,000 - 150,000; Full time

Job summary

Strategic Analysis, Inc. is seeking a Multi-Factor Analysis SETA with subject matter expertise in Genomics, 'Omics and Computational Biology to provide technical guidance and oversight.

The role focuses on characterizing factors behind autism trajectories using genetics, epigenetics, metabolomics, microbiome, and environmental data, with remote work and periodic travel. Experience with budgeting and large human cohorts is required.

Qualifications

• PhD (or MD/PhD) in human genetics, genomics, bioinformatics, computational biology, biostatistics, epidemiology, systems biology, or a related field. A master’s degree with substantial relevant research experience may be considered.
• Experience with computational methods for high-dimensional biological data, statistical genetics, data science, computational modeling, and/or machine learning.
• Experience with budgeting and program or project management.

Responsibilities

• Provide internal subject matter expertise on factors behind autism trajectories, including genetics, epigenetics, metabolomics, immune profiling, microbiome, environment, family factors, and development history.
• Assess study design, measurement choices, data handling, and statistical methods for gene-environment and multi-factor interactions.
• Scope measurement of biological state including neuroimaging and electrophysiology; focus on human data.
• Help set goals, expectations, and budgets for TA1 projects, including milestones for data generation and sharing.
• Review and oversee funded TA1 projects and coordinate with TA2 and TA3 to feed modeling platforms and inform interventions.

Skills

Genomics

Bioinformatics

High-dimensional data analysis

Study design

Budgeting & program management

Education

PhD in human genetics/genomics or related field

Tools

R

Python

Machine learning

Job description

Strategic Analysis, Inc. is seeking a Multi-Factor Analysis SETA with subject matter expertise in Genomics, 'Omics and Computational Biology to provide technical guidance and oversight.

The role focuses on characterizing factors behind autism trajectories using genetics, epigenetics, metabolomics, microbiome, and environmental data, with remote work and periodic travel. Experience with budgeting and large human cohorts is required.