Lead Data Scientist - Remote

The Emmes Corporation - Rockville, MD

Full-time - Mid Level

Remote - Rockville, MD

Professional, Scientific, and Technical Services

About the position

Overview: Lead Data Scientist US Remote Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience. We believe the work we do will have a direct impact on patients lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We're looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us! Primary Purpose: We are seeking a talented and motivated Data Scientist to join our team and play a key role in developing the next generation of AI and Machine Learning products for clinical research. You will be responsible for developing and building models and data pipelines to streamline the analysis of clinical data for Data Management, Pharmacovigilance, Medical Monitoring, Central Monitoring, RBQM and other functions in the clinical development life cycle. You will work closely with cross-functional teams, including bioinformatics analysts, data managers, software engineers, therapeutical area leaders, and product managers, to bring complex analytical solutions to life and drive clinical insights through data products.

Responsibilities

• Design, develop, and implement scalable software solutions, features and products for analyzing and interpreting clinical data
• Develop automated workflows for data engineering and processing and analysis of clinical data using workflow management software
• Integration of workflows with AWS Services such as AWS CLI, S3, Batch, and Cloud Watch
• Apply statistical and machine learning techniques to extract meaningful insights from large-scale clinical datasets
• Execute, troubleshoot, and benchmark data processing, analysis, and reporting workflows
• Write well-documented computer code, conduct code reviews, and programming validation
• Create hypotheses to test with clinical data sets and conduct independent research to generate meaningful impact to clinical research
• Identify inconsistencies and initiate resolution of data, analytical, or reporting problems
• Other responsibilities as assigned.

Requirements

• 5+ years of relevant experience in related roles in Pharmaceutical, Medical Device, Clinical, Technology and/or Software Engineering industry
• Subject matter expert in the latest data science, generative AI/LLM and other AI techniques, methods and solutions
• Experience in effectively scaling data science models to products and bringing innovative solutions to production
• Knowledge of clinical trial operations, data management, trial design and R D process
• Demonstrated computer programming skills in Python or R for statistical programming
• Experience using Version Control software (Git, SVN, or similar) to manage programming code
• Ability to manage multiple tasks
• Ability to work independently, as well as in a team environment
• Ability to effectively communicate technical concepts, in both written and oral format
• Self-motivated and proactive with a reputation for critical thinking and problem solving.

Benefits

• 401(k)
• Health insurance
• Parental leave
• Tuition reimbursement
• Work from home