Senior Data Scientist - PHC RWD PHARMA / ro-331

Status: 
closed
Location: 
4070 Basel
Start Date: 
2018-04-01
End Date: 
2018-09-30
Deadline: 
2018-03-20 13:30
Hours per day: 
8,00
Hours per week: 
40,00
Workload: 
100%
Total Hours: 
1.040
Assignment: 

Background

For our Swiss customer located in Basel we are currently looking for (m/f) a Senior Data Scientist - PHC RWD PHARMA

Type of placement:  6 months, external contract with possible long term extension

  • Company:  major Pharma company in Basel area
  • Salary:  level 3, please ask us for the exact rate range 

(monthly gross salary levels in CHF,  level1= 5-10k , level2=10-15k,  level3= >15k) -PHARMA

 

POSITION SUMMARY

As a Senior Data Scientist within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized
patient care and access. You will collaborate with peers within the function and across the organization to design and execute studies and implement analyses to address molecule and disease area questions. Source data will be diverse -- real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. As Senior Data Scientist you will typically be expected to contribute to the molecule/disease
area for multiple or complex projects with minimal supervision.

RESPONSIBILITIES

  •  IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions.
  •  DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with 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
  • (e.g. congress/conference).
     
Requirements: 

MINIMUM QUALIFICATIONS

  • MSc or PhD in epidemiology, public health (epidemiology focus), or pharmacoepidemiology
  • Demonstrated track record of developing and executing epidemiolgical research projects, with publications and presentations
  • 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
  • Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques
  • Proficiency in English, both written and verbal
  • Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority

PREFERRED/ADDITIONAL QUALIFICATIONS

  • PhD degree as listed in Minimum Qualifications
  • 6+ years of relevant work experience
  • Proven ability to translate and communicate complex study design and findings to diverse audiences