Biostatistician, Pharmacoepidemiology

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH).

Responsibilities

• Provide operational, executional, tactical, and strategic support for the Good Algorithmic Practice initiative.
• Help to implement recommendations from the Good Algorithmic Practice Initiative focused on standardization, reproducibility, and data transparency.
• Help develop standards for the operationalization and fit-for-purpose use of AI/ML methods applied to Real-World Data (RWD).Produce exemplary educational material, including tools geared toward under-served communities and new learners, covering topics relevant to use of RWD including but not limited to treatment of missing data, case control selection, minimization of type I/II error and bias, prevention of model overfitting and poor generalization and approaches to Electronic Health Record (EHR) data limitations.
• Manage, schedule, and oversee outreach initiatives to underserved communities and extramural sites with limited bioinformatics capacities.
• Support investigations from the Office of the Director and N3C leadership requiring biostatistical and/or machine learning knowledge and domain expertise. Outputs of these efforts would serve as exemplars of Good Algorithmic Practice and may result in publications.
• Produce criteria to evaluate the incremental benefit of PPRL-linked datasets (i.e., improvements in the quality and/or scope of analyses of N3C data, reduction in data missingness, etc.).
• Participate in N3C Enclave Knowledge Store object and code template peer review, integration and unit testing, and validation.

Qualifications

• Ph.D or Postdoc prefeered
• Minimum MS in computer science, (bio)statistics, or similar quantitative degree.
• Proven track record of working with real world clinical data.
• Experience in modern machine learning techniques and biostatistics. Preferably experienced in causal inference methods, supervised, and unsupervised learning.
• Fluent in Python and R with knowledge of Scikit-learn and at least one deep learning framework (TensorFlow/Keras or PyTorch). Systems biology modeling experience a plus.
• Strong oral and written communication skills and ability to actively participate in technical discussions and follow up on action items.
• Sound judgment, positive attitude, and creative outlook required.
• NIH experience preferred

Benefits

• 100% Medical, Dental, and Vision Coverage for Employees
• Educational Benefits for Career Growth
• Paid Time Off (including Holidays)
• Employee Referral Bonus
• Profit Sharing
• 401k matching
• Flexible Spending Accounts:
• Healthcare (FSA)
• Parking Reimbursement Account (PRK)
• Dependent Care Assistant Program (DCAP)
• Transportation Reimbursement Account (TRN)