Senior Data Scientist

Found in: beBee S IN - 2 weeks ago


Mumbai, India Abbott Laboratories Full time
Job Description

For years, Abbottâs medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether itâs glucose monitoring systems, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine ï¬ngersticks.

Abbott currently has an opportunity for a Sr. Data Scientist.   The Sr. Data Scientist will lead a small team of data scientists and engineers to deliver data science solutions.  He or she will be responsible for working on complex problems in the field of life-saving implantable medical devices. He or she will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects.  As a key leader on the team, the candidate will develop solutions to curate and analyze large quantities of medical data.  The candidate will work on projects that provide solutions to internal and external stakeholders.   The candidate will collaborate effectively with internal stakeholders and cross-functional teams in India and the US.  He or she will present solutions and insights in concise and effective manner to technical and non-technical audiences.

Responsibilities
  • Curate and analyze complex clinical data
  • Perform integrative analyses of clinical and device data from large patient cohorts
  • Translate real-world observations into clinical actionable insights using precision medicine, phenotyping, machine learning, artificial intelligence
  • Apply scientific knowledge on data modeling, data analytics, predictive algorithms, and other data science principles to create concepts, develop prototypes, and generate insight from data
  • Research and develop AI and Deep Learning algorithms
  • Solve analytical problems and effectively communicate methodologies and results
  • Draw inferences and conclusions
  • Create dashboards and visualizations of processed data to identify trends
  • Translate project needs and goals into a data driven analytical approach
  • Understand the context of big data and its implications around privacy
  • Work autonomously in a fast-paced environment
  • Work with a broad range of technologists and support personnel both within and outside of Abbott
  • Lead a small team of data scientists and engineers

Minimum Education

Bachelorâs Degree

Minimum Experience/Training 
  • 8 years of experience
  • In-depth knowledge of contemporary machine learning, pattern recognition and data-mining techniques.
  • Analytical skills with a solid foundation in programming (R, SAS, Python, SQL, NoSQL, PostgreSQL) and data/database design
  • Strong oral and written communication skills

 Preferred Education/Training
  • PhD in quantitative discipline, such as computer science, engineering, data science, bioinformatics, statistics, mathematics, machine learning or related field.
  • 8-10 years of relevant work experience. 
  • Prior experience in R or SAS
  • Proficient in data warehousing, data modeling, ETL and SQL
  • Prior experience or working knowledge with one or more of the following tools and technologies: Spark, Clojure, Hive, Pig, Redshift
  • Experience with big-data architecture, operating systems, and tools for big-data analytics
  • Experience with UX design

WHAT WE OFFER

At Abbott, you can have a good job that can grow into a great career. We offer:

  • Training and career development, with onboarding programs for new employees and tuition assistance
  • Financial security through competitive compensation, incentives and retirement plans
  • Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
  • Paid time off
  • 401(k) retirement savings with a generous company match
  • The stability of a company with a record of strong financial performance and history of being actively involved in local communities

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