Multi-Factor Analysis (Genomics, 'Omics and Computational Biology) SETA (#26-167)

Strategic Analysis, Inc.; Arlington (VA); À distance; USD 110 000 - 150 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Genomics

Bioinformatics

High-dimensional data analysis

Study design

Budgeting & program management

Formation

PhD in human genetics/genomics or related field

Outils

R

Python

Machine learning

Description du poste

Strategic Analysis, Inc. (SA) is actively seeking an Multi-Factor Analysis SETA with subject matter expertise in Genomics, 'Omics and Computational Biology. This is a Science and Engineering and Technical Advisor (SETA) role, focused on providing technical guidance and oversight.

Specific Duties Required:

• Provide internal subject matter expertise on how to characterize the factors behind different autism trajectories. These include genetics and epigenetics, metabolomics, immune profiling, the microbiome, environmental exposures, family factors, and developmental history. The program's starting idea is that nonlinear interactions among these factors shape different developmental, health, communication, and functional outcomes (ARPA-H).
• Give insight on whether proposed approaches are conceptually and technically sound:
  • Study design: cohort design, sample size, and statistical power
  • Measurement: assay and measurement choices, and batch effects
  • Data handling: combining data from different sources, and quality control
  • Analysis: reproducibility, and statistical methods for gene-environment and other multi-factor interactions
• Scope: any justifiable way of measuring a person's biological state is in scope, including neuroimaging and electrophysiology. Characterization is focused on humans, not model systems such as organoids (ARPA-H, n.d.-b).
• Help set goals, expectations, and budgets for TA1 projects, including milestones for generating, harmonizing, and sharing data.
• Help review and oversee funded TA1 projects, including:
  • coordinating with TA2 so TA1 data and features can feed the federated, privacy-preserving modeling platforms (ARPA-H)
  • coordinating with TA3 so TA1 findings point to targets that interventions can act on

Experience/Expertise Required:

• Experience in human genetics/genomics or other 'omics research (e.g., sequencing, epigenomics, transcriptomics, proteomics, metabolomics, microbiome), covering both how the data are generated and how they're analyzed
• Experience with computational methods for high-dimensional biological bioinformatics, statistical genetics, data science, computational modeling, and/or machine learning
• Experience working with large human cohort or long-term datasets that combine several data types
• Experience with budgeting and program or project management

Experience/Expertise Preferred:

• Minimum five years of experience post-doc.
• Genetics or biology research on autism or other neurodevelopmental conditions
• Familiarity with large autism and population datasets (e.g., SPARK, Simons Simplex Collection, MSSNG, ABCD, All of Us)
• Environmental epidemiology or exposome science; immunology; metabolism; gut-brain or microbiome research
• Methods for causal inference and interactions (e.g., Mendelian randomization, gene-by-environment modeling, polygenic scores, multi-omic integration, subtyping or clustering patients by trajectory)
• Neuroimaging or EEG analysis
• Data standards, governance, and privacy for genomic data, including FAIR principles, GA4GH standards, consent, and assent for minors, and returning results to participants
• Engaging communities in genetic research, and awareness of autistic community perspectives on it
• Lived experience of autism is a plus. Disclosure is voluntary and not required.

Minimum Degree Requirement:

• 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.

Location: Position is remote.

Travel: Periodic travel may be required

Clearance: Ability to obtain HHS Public Trust.

Equal employment opportunity, including veterans and individuals with disabilities.