Technical Lead - Biological Systems Modeling Analytics

Battelle • Columbus, OH

12d • $128,800 - $183,600 • Hybrid

About The Position

Battelle is seeking a Technical Lead - Biological Systems Modeling Analytics for a hybrid work arrangement in Columbus, OH. In this role, you will fulfill data analysis needs for complex problems, oversee junior staff, and work closely with senior technical staff. Your focus will be on developing technical solutions, implementing and evaluating state-of-the-art models and data analysis pipelines, developing reports and presentations for clients, and providing technical expertise for business development activities. Battelle's Health Analytics supports government, academic, and private industry clients in public health, healthcare, national defense, environmental, transportation, and energy sectors.

Requirements

• Ph.D. in computational biology, bioinformatics, physics, chemistry, applied mathematics, or related field.
• 8+ years of experience in computational modeling, data science, or quantitative biology.
• Demonstrated experience in computational toxicology, bioinformatics, or related domain.
• Expertise in one or more of the following: Statistical modeling and machine learning, Differential equation-based modeling (ODE/PDE/stochastic systems), Bayesian methods and probabilistic modeling.
• Experience working with large-scale, high-dimensional biological or chemical datasets.
• Strong programming skills (e.g., Python, R, MATLAB or similar).
• Proven ability to communicate complex technical concepts to technical and non-technical audiences.
• Ability to obtain and maintain Secret clearance.

Nice To Haves

• Demonstrated success contributing to the capture and execution of federal research and development programs, including development of technical approaches, solution concepts, white papers, proposals, and client-facing presentations.
• Experience serving as a technical lead, principal investigator, task lead, or subject matter expert on multidisciplinary scientific programs.
• Knowledge of the federal health, biodefense, environmental health, and life-sciences research landscape, including agencies such as NIH, FDA, CDC, BARDA, DoD, EPA, DARPA, and ARPA-H.
• Proven ability to translate complex scientific, computational, and modeling concepts into clear and concise written, visual, and verbal communications for both technical and non-technical audiences.
• Experience supporting business development activities, including identifying opportunities, shaping technical solutions, evaluating teaming approaches, assessing technical risks, and contributing to competitive proposal efforts.
• Demonstrated ability to collaborate effectively across disciplines, including biologists, toxicologists, statisticians, software engineers, and domain subject matter experts.
• Experience mentoring junior scientists and supporting growth of technical capabilities within a research team.
• Strong scientific curiosity and commitment to continuous learning in emerging areas such as AI/ML, systems biology, computational modeling, and advanced analytics.
• Excellent written and verbal communication skills, including experience presenting technical work to clients, partners, program managers, and senior leadership.
• Ability to engage with stakeholders possessing varying levels of scientific and technical expertise and clearly communicate the mission impact of scientific solutions.
• Ability to work independently while also contributing effectively to small, fast-paced, multidisciplinary research.

Responsibilities

• Develop and implement computational toxicology models, including PBPK/PBTK and quantitative adverse outcome pathway (qAOP) frameworks.
• Design and apply machine learning and statistical models to classify, cluster, and predict toxicity of chemical compounds using large-scale datasets (e.g., Tox21, bioactivity data).
• Build multi-scale models using differential equations (ODE/PDE), stochastic processes, and Bayesian methods.
• Apply advanced analytics techniques, including multivariate statistical analysis, dimensionality reduction, and probabilistic inference.
• Develop algorithms for pattern recognition, classification, and predictive modeling across biological and chemical datasets.
• Collaborate with multidisciplinary teams including biologists, toxicologists, statisticians, and software engineers.
• Translate complex scientific outputs into clear, actionable insights and technical deliverables.
• Support proposal development and technical solutioning for federal health and environmental programs (e.g., CDC, NIH, FDA, EPA).
• Mentor junior staff and contribute to development of scientific and analytic capabilities across the team.

Benefits

• Compressed work schedule allowing for every other Friday off.
• Hybrid work arrangement (60% in-office, 40% remote).
• Paid time off.
• Medical, dental, and vision coverage with wellness incentives.
• Optional supplemental benefits.
• Coverage for partners, gender-affirming care and health support, and family formation support.
• Industry-leading 401(k) retirement savings plan with company contribution (5% regardless of employee contribution, plus matching).
• Tuition assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree