Clinical Programming Lead - Mumbai/Hyderabad/Bangalore

Key Skills

Data cleaning / Data cleansing, Data science techniques, Java Programming, Python Programming, R Programming, SAS, Scala Programming, SQL

Job Description

The position is accountable for providing expertise, hands on delivery and oversight of clinical programming activities integrating EDC, eSOURCE, third party vendor data, mapping and transformation into an internal Data Review Model (DRM) and CDISC SDTM submission-ready tabulation packages. Additionally, creates and executes edit check programs and listings as well as CRO oversight for outsourced trials.

Responsible for creating efficiencies in the clinical data flow using metadata driven approaches and ensuring the highest level of consistency and quality across trials they support.

Additionally, they provide expertise in relevant technical areas and on process improvement, maintenance and innovation initiatives working proactively to connect with teams, peers, and leadership within and cross functions, sharing and implementing lessons-learned and shaping processes and practices.

Depending on departmental needs, this position may fulfil the role of a Portfolio Lead.

Responsibilities Include:

• Responsible for planning, coordination, oversight, and execution of team activities as appropriate and provides technical and project specific guidance to team members
• Create and/or review internal Data Review Model (DRM) and SDTM mapping specifications, aCRF, datasets, define.xml, cSDRG for stakeholder use (data cleaning, medical review, central monitoring, adaptive decision making, etc.)
• Create back-end edit checks, data cleaning and review listings, tables
• Independently manages interfaces and escalations with cross-functional project teams. 
• Support and/or lead in developing and implementing process, system, and tool improvement initiatives within compliance with departmental processes and procedures.
• Develop and maintain working knowledge and expertise in programming languages utilized in clinical programming (SAS, SQL, etc.) and apply continuous learning as part of next generation data strategy (R, Python, Scala, Java, etc.).

Qualifications

• Bachelor’s degree in Computer, Data or Life Sciences or equivalent work experience is required; Master’s degree preferred
• 6+ years of relevant experience in pharmaceutical industry is desired, experience in other industries in Programming role will also be considered
• In-depth knowledge of protocol, current clinical drug development processes preferred
• In-depth knowledge of data structures and relevant programming languages for data manipulation and reporting. May include SAS, R, Python, etc. Knowledge of SAS required.
• Advanced knowledge of SDTM including Define.xml, CDASH, metadata as well as experience transforming transferred vendor data into SDTM preferred, knowledge of ADaM a plus
• Strong knowledge of complex finding data types, including but not limited to biomarker, digital data such as ECG, imaging, etc. a plus
• Experience in planning and coordinating on or more team activities preferred 
• Project management skills and knowledge of team management principles are required
• Demonstrated written and verbal communication skills
• Aptitude and motivation to learn new technologies and make appropriate recommendations for consideration is preferred
• Vendor management oversight experience