Technical Lead - Biological Systems Modeling Analytics

Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi-national corporation, a small start-up or a government agency.

We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply.

Job Summary We are currently seeking a Technical Lead - Biological Systems Modeling Analytics for a hybrid work arrangement. This position is located in Columbus, OH.Battelle's Health Analytics supports government, academic and private industry clients in the areas of public health, healthcare, national defense, environmental, transportation, and energy.  In this role you will fulfill data analysis needs for complex and unusual problems, and you will oversee junior staff on small tasks and work closely with other senior technical staff.

In this role you will be focused on (i) developing technical solutions, (ii) implementing, evaluating, and improving state‑of‑the‑art models and data analysis pipelines, (iii) developing reports or presentations to report findings to project leaders and clients, and (iv) providing technical expertise to support business development activities.

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., Tox
21, 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

Key Qualifications Ph.D. in computational biology, bioinformatics, physics, chemistry, applied mathematics, or related field8+ 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

Preferred Qualifications 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,…