Data Scientist (Epidemiology or statistics/biostatistics)
Posted on Feb 7, 2021 by NextLink Solutions
Are you looking for an interesting and challenging opportunity in Basel, Switzerland - Remote.
NextLink is working with a leading pharma client who is seeking a - Real World Data Scientist/
Epidemiologist) - Remote for a 12 month contract(possible extension) in Basel, Switzerland.
NextLink Solution, a Swiss IT Consultancy Company that has been providing both IT services and IT staffing to major customers for the past 20 years, has an excellent opportunity that can take your career to the next level.
If interested and available call ASAP or help me with a good time and number to reach you or send your CV.
Please feel free to pass this information to anyone you know of who would be a good fit for this role.
Job title: Real World Data Scientist/Epidemiologist)
Location: Basel, Switzerland
Duration: 12 month(possible extension)
Deadline to respond: ASAP or before 3:30 CET on the 9rd February
MSc, PhD in a quantitative data science discipline (eg, epidemiology or statistics/biostatistics)
Between 2 to 4 years' experience in RWD: demonstrated track record of developing and execution of data science research projects, patient-level data analyses (eg, real world data (eg registries, claims), surveys, clinical trials, genomic or imaging data) with publications and presentations
Experience in industry: pharma or large CRO
Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges
Demonstrated strong collaboration skills and excellent communication skills (must have for the team, will not be rated on the shortlist since these are soft skills)
Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques
Nice to haves:
Experience with either Oncology or Neuroscience
Experience working with Flatiron (company & systems used there
Tasks & Responsibilities:
Identify & recommend data solutions: Ask the right technical questions, understand the design needs for research and development, regulatory, medical and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
Develop data strategy & gain access to data: Develop strategic plans to access fit-for-purpose data sources to support evidence generation, and gain access to data through collaboration or data generation.
Dive into data: Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
Be an expert in applying methods: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
Produce high quality analyses: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.
Interpret and share results: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results; participate in external meetings and forums to present your insights (eg congress/conference).