Summary:
The successful candidate will possess strong analytical aptitude, have a high degree of technical competency in computational sciences with a deep theoretical understanding of AI/Client and causal learning paired with an excellent understanding of molecular biology proven by a track record of innovative and collaborative research.

Responsibilities will include, but are not limited to:

Develops computational integrative omics models for the inference of multi-dimensional immunological signatures that can serve as pharmacodynamic and predictive biomarkers.
Identifies opportunities and delivers appropriate quantitative methods, such as AI/Client and causal learning, to push the state of the art for omics-based research biomarker discovery.
Enables and executes silico perturbation analyses to predict cellular response to drug or genetic perturbations.
Develops innovative cloud-native bioinformatics workflows for rapid and sustainable omics data processing, quality control, and multi-omics data integration for systemic insights generation of disease biology and therapeutic mode of action.
Works cross-functionally with stakeholders and domain experts to build a comprehensive catalog of gene signatures for all company relevant therapeutic areas.
Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all Tas.
Collaborate with engineers, data scientists, and research scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation.

Education:

PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Master's degree & 5+ years of directly related experience OR Bachelor's degree & 7+ years of directly related experience

Preferred Qualifications:

Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods.
Knowledge in molecular biology.
Experience in integrative analysis of omics data, including single-cell and spatial sequencing data.
Experience with in silico modeling of cellular response to drug or genetic perturbations.
Fluency in scientific programming and tool development with R, Python, or equivalents.
Proven record of innovative thinking to propose and champion the development of Client algorithms and AI/Client models that generated interpretable and actionable results for biomarker discovery.
Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
Experience with cloud computing
Creative, open-minded, and passionate about scientific research
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Demonstrated ability to thrive in a team environment
Strong interpersonal, collaborative, organizational, and presentation skills
Excellent communication skills (written and verbal)
Understanding of molecular biology of inflammation is a plus

Top 3 Must Have Skill Sets:

Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods;
Proven knowledge in molecular biology (knowledge of inflammation biology is a major plus);
Experience in integrative analysis of omics data for modeling of biological systems, including analysis of single-cell and spatial sequencing data; ideally experience with in silico modeling of cellular response to drug or genetic perturbations

Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate's qualifications, skills, competencies, experience, location and end client requirements).

Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

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