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Sr. Clinical Data Analyst (Contractor) (Office or Remote)

Remote:

Full Remote

Contract:

Freelance

Salary:

48 - 48K yearly

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor's or Master's degree in data science field., Minimum 4+ years biotechnology or pharmaceutical experience., Programming experience in R or Python required., Experience with data display tools like R-Shiny and Spotfire..

Key responsabilities:

Generate visualizations and analysis for clinical trials.
Develop and implement R programming for automation of standards.

Arcus Biosciences Biotech: Biology + Technology Scaleup https://www.arcusbio.com/

501 - 1000 Employees

See all jobs

Job description

Description

This is a full-time, one year contract role.

The Sr. Clinical Data Analyst will be responsible for creating fit-for-purpose analyses, visual data displays and dashboards from diverse data types to aid in internal data consumption and decision-making. This position will report into the Head of Clinical Data Sciences and will interact regularly with diverse stakeholders across the organization. Demonstrated abilities to prioritize work; to understand internal business, data and decision-making needs; and to communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations, safety, medical affairs and commercial) are essential.

This is a unique opportunity to join a growing Biometrics team investigating a diverse portfolio of immuno-oncology therapeutics. The ideal candidate will come with industry experience working in a regulated environment while also demonstrating know-how, flexibility and scientific curiosity to drive creative approaches to both formal and exploratory work.

Responsibilities

Generate validated, reproducible, visualizations and analysis using open-source software packages or tools (e.g., R/R-Shiny, Spotfire) to replicate more formal analyses for the purpose of clinical trial planning and design, internal data review, go/no-go decision-making and external publications or data releases
Standardize and internalize current Spotfire and other Dashboards to provide semi-automation to full automation where appropriate
Explore other open-source Data Science languages such as Python in fit-for-use analytical environment
Develop and implement R programming such as standardized packages, functions, Markdown, Flex-dashboards, R-Shiny, etc in existing analytical pipelines and new pipelines including automation of standards
Create integrated data analyses pooling data across various clinical trials or with other relevant data sources to meet business needs (e.g., real-world data analyses, tumor or indication-specific translational questions, site monitoring, safety signal detection, go/no-go decision-making), as appropriate
Develop therapeutic area landscape and benchmark analyses to facilitate discussions on new target selection, clinical development and commercialization strategies
Build and maintain data pipelines to automate data processing tasks

Qualifications

Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience
Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred
Programming experience in R or Python or similar language is a must as is experience with data display and dashboard tools such as R-Shiny, Spotfire, and Tableau (or similar)
Familiarity with reproducibility, traceability and containers (Docker) strongly preferred
Knowledge of clinical CDISC data standards and associated requirements of working in validated environments strongly preferred
Demonstrated ability to rapidly adapt to changing project and strategic requirements
Interest in continuing education, particularly in the areas of business knowledge as well as technology trends for producing analyses and visualizations (particularly with an eye towards reproducibility or interactivity)
Takes a fit-for-purpose mindset to daily work as well as long-term vision

Physical Requirements: Must possess mobility to work in a standard office setting and use standard office equipment, including a computer; vision to read printed materials and a computer screen; and hearing and speech to communicate in person, before groups, and over the telephone. This is primarily a sedentary office classification although standing in work areas and walking between work areas may be required. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, mouse, or calculator, and to operate standard office equipment. Positions in this classification occasionally bend, stoop, kneel, reach, push, and pull drawers open and closed to retrieve and file information. Employees must possess the ability to lift, carry, push, and pull materials and objects weighing up to 25 pounds.

EOE

Arcus Biosciences is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arcus is committed to the principle of equal employment opportunity for all employees and does not discriminate based on race, religion, color, sex, gender identify, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets

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