Senior Data Scientist in Basking Ridge at Daiichi Sankyo

Date Posted: 9/9/2022

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Basking Ridge
  • Experience:
    Not Specified
  • Date Posted:
    9/9/2022
  • Job ID:
    R884

Job Description

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. Under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.


Summary

** You must have 7 or More Years Minimum of 7 years’ experience as a Data Scientist in the Pharmaceutical Industry to apply.

The candidate will work in R&D Excellence – MARS Team (Metrics, Analytics, Reporting & Solutions) and will focus on a variety of "Data Science" projects across the board leveraging data from multiple internal R&D Systems and external Data Vendors enabling "Data Driven" culture across all R&D. The candidate will have direct accountability to build and productionize data science models enabling proactive risk monitoring, pattern detection, historic baselining, and predictive modeling. This a very technical role and we are looking for a candidate with strong technical acumen and passion for data science programming.

Responsibilities

Data Analysis

1) Apply descriptive, predictive, and prescriptive analytics to inform business decisions throughout all stages of clinical trial delivery

2) Translate data analysis into formalized messaging, insights and actions using PowerPoint and communicate effectively to stakeholders

Forecasting

1) Build advanced statistical modeling and tools to support Forecasting, Allocation and Time reporting of clinical trial operational progress and  milestones.

Competitive Intelligence & Benchmarking

1) Responsible for the analyzing trial related data to support external benchmarking studies along with driving the internal communication and use of the respective data outputs/tools

2) Extract insights from public source data to inform current trial planning

3) Create technical means to identify new patients and sites using Real-World epidemiology data

Risk Mgmt & Data Surveillance

1) Develop a centralized mechanism to capture, analyze, track, and alert the mitigation of site, country, trial, and project risks & issues for ongoing and future clinical trials

Metrics

1) Produce KPIs, KRIs, KQIs and QTLs for all levels and functions within R&D, partnering with existing metrics SMEs to ensure harmonization

2) Build Trackers for measuring Clinical Trial performance against  Annual Targets &  Non-Drug related initiatives

3) Benchmark 3rd Party performance against internal trials to inform instream actions and long-term strategic decisions


Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
Education Qualifications (from an accredited college or university)

- Bachelor's Degree in Data Science or related discipline at an accredited college or university required
- Master's Degree in Data Science or related discipline at an accredited college or university preferred Experience Qualifications

- 7 or More Years Minimum of 7 years’ experience as a Data Scientist in Pharmaceutical Industry (preferably R&D) working with Internal and External Clinical and Operational data / Real World Data. required
- Excellent knowledge and experience of coding in Python, R or Scala required
- Strong experience in building supervised and unsupervised machine learning methods and deploying them into production (i.e., regression models, random forests, decision trees, NLP, clustering etc.) required
- Strong Experience with data visualization tools such as Tableau, Power BI required
- Ability to explain complex technical insights to non-technical stakeholders using storytelling and slide generation required
- Strong problem-solving skills required
- Ability to connect large volumes of data in various formats and systems in an automated manner and extract insights required


Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.