Senior Clinical Data Scientist(s) – 3 positions open
Location: Atlanta, GA or Remote (USA)
About Us
Would you like to join one of the fastest-growing organizations with a stated goal of using latest and
greatest AI, GenAI, LLM, Cloud and Digital Technologies to advance drug development and improve
patient care pathways. WriteMed.AI helps Biopharma and Life Sciences Companies reduce time to write
medical publications and regulatory paperwork. Our Technical team support our customers’ missions
with creative and transformative spirit of innovation across all technologies, AI, GenAI, LLM, Compute,
Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security
and more. This is an opportunity to partner our principal AI Architects, Principal Data Scientists, and
Engineers in maintaining a robust and secure technical foundation for our customers ranging from small
Biotech companies to large Pharmaceutical companies.
Role Overview
This role offers hybrid work, requiring 3 days per week or 12 days per month in our Atlanta Office.
Required Qualifications
- Ph.D. in data science, biostatistics, or other quantitative fields
- More than 3 years of experience in clinical drug development with extensive exposure to clinical
trials - Strong knowledge and understanding of statistical methods such as time to event analysis,
machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian
methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical
trials - Strong programming skills in R and Python, Demonstrated knowledge of data visualization,
exploratory analysis, and predictive modeling - Excellent interpersonal and communication skills (verbal and writing)
- Ability to develop and deliver clear and concise presentations for both internal and external
meetings in key decision-making situations
Responsibilities
- Development and implementation of data science methodologies applied to biomedical data,
data interpretation, data ingestion, and statistical analysis across disciplines. - Combine data science and AI skills to scientific knowledge in biology or medicine to enrich drug
development lifecycles through medical writing in close collaboration with internal SMEs and
external customers - Contribute to planning, execution, interpretation, validation and communication of innovative
exploratory analyses and algorithms, to facilitate internal decision making - Provide technical expertise in data science and (predictive) machine learning/AI to identify
opportunities for influencing internal decision making as well as discussions on white
papers/regulatory policy - Hands-on analysis of integrated data from clinical and real-world data