Eli Lilly Life Science & Biology Data Scientist Recruitment – Apply Online

Eli Lilly Life Science & Biology Data Scientist Recruitment – Apply Online

Eli Lilly Life Science & Biology Data Scientist Recruitment – Apply Online. Life Science / Biology Senior Data Scientist Job Opening. Interested and eligible applicants can check out all of the details on the same  below:

At Lilly, we unite caring with discovery to make life much better for people worldwide. We are a worldwide health care leader headquartered in Indianapolis, Indiana. Our 39,000 employees work to discover as well as bring life-altering medicines to those that need them, improve the understanding as well as management of disease, as well as give back to our communities via philanthropy and also volunteerism. We give our best effort to our work, and also we put people first. We’re looking for people that are determined to make life better for people around the world.

Research IDS leverages infotech for the scientific discovery of brand-new therapies that are safe as well as effective in regulating diseases. Our work allows Lilly scientists to swiftly iterate on their hypothesis for scientific discoveries utilizing data-driven approaches. As a member of the Research IDS organization, you will work to enable lab automation of scientific experimentation, organize

and also manage data to drive analysis, and also establish advanced analytics s to enable the discovery of targets as well as therapeutics. You will certainly have the opportunity to operate in a highly technological, fast-paced, team-focused, and scientifically challenging areas to deliver platforms to support ever-changing research environment.

Name of the Post: Senior Data Scientist

Location: Bengaluru, Karnataka

• The position is responsible for the design, development, enhancement, debugging as well as implementation of data processing and also analytic platforms (Internal and 3rd Party Tools) using Agile methodology
• Data science roles make use of data to create insights that inform business/scientific decisions. They utilize their analytical, statistical, and also programming skills to collect, analyze, as well as interpret data. They utilize this info to develop data-driven solutions to difficult business challenges.
• As defined by the Abilities Foundation for the Information Age (SFIA), Analytics is the application of maths, statistics, predictive modelling and also machine-learning techniques to discover meaningful patterns as well as knowledge in recorded data.
• Secret competencies required for data science roles are listed below and also explained in sections that follow.
• Analysis Planning – they need to team up with business domain professionals (biologists, chemists, statisticians, etc.) to comprehend the business problem.
• Analyze Data – uses statistical methods coupled with their business domain knowledge to find patterns, build models, as well as algorithms with the intention of gaining new insights that eventually lead to boosted business domain processes and products.
• Storytelling – is the process of translating data analyses right into layman’s terms in order to influence a business/scientific decision or action.

1. Technical Competency:

• Design – they need to design and implement data schemes in Cloud-based environments;
• Process – they have to be efficient in formatting, processing and integrating terabytes of data;
• Automation – they are expected to automate the procedure into a scalable and also sustainable workflow.

Keep in mind: All data science roles must have a foundational set of knowledge in: analysis, techniques, business acumen, and also communication effectiveness. Effective data scientists are curious and also self-driven to guarantee their analysis answers the question in front of them. Data science roles include Data Scientists, Informaticists, as well as various analyst roles.

2. Minimum Position Qualifications:

• Experience with computation languages such as R, Python (at least one of).
• Experience with database technologies as well as products (Redshift, MongoDB, MySQL, PostgreSQL, etc.).
• Experience with handling large datasets (e.g. > TB+) on the Cloud (AWS).
• Experience with Jira as well as GitHub.
• Experience in data visualization packages such as Plotly, Matplotlib or experienced with data visualization tools such as Spotfire, or Tableau.
• Experience with several notebook environments such as Jupyter or R Studio.
• Experience developing computational and machine learning algorithms.
• Continuous Integration, Continuous Deployment (CI/CD), Continuous Testing.
• Basic understanding of life science (biology, chemistry and medicine).
• Technical leadership experience favored.

3. Preferred Qualifications/ Certifications:

• Master’s degree in data science or comparable.
• Education or experience in life science, biology, chemistry are extremely desired.
• Agile Methodologies: Experience with Agile software development, project management methodologies.
• Familarity with QuickSight, SageMaker, Elastic Search.
• Familarity with Natural Language Processing/Text Mining.
• User centric design thinking and solution delivery.
• Understanding of scientific process as well as data (Targets or therapies).

Apply Online

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