Data, AI, and Genome Sciences (DAGS), AI/ML Co-op
"Are you looking for a hands-on co-op experience that combines cutting-edge technology with life-changing research? Look no further than our Data, AI, and Genome Sciences (DAGS), AI/ML Co-op at Merck & Co.! As a global leader in healthcare, we are seeking highly motivated individuals to join our dynamic team and contribute to our efforts in utilizing data, artificial intelligence, and genomics to drive groundbreaking advancements in medicine. Our ideal candidate is a driven and innovative individual with a strong background in data and AI/ML, a passion for genomics, and a desire to make a meaningful impact in the world of healthcare. If this sounds like you, then we want you to join us on our mission to revolutionize the field of biopharmaceuticals."
- Conduct cutting-edge research in the fields of data, artificial intelligence, and genomics.
- Collaborate with a dynamic team to develop and implement innovative solutions for healthcare advancements.
- Utilize data and AI/ML techniques to drive groundbreaking discoveries in medicine.
- Stay up-to-date with the latest advancements in data, AI, and genomics to continuously improve processes and techniques.
- Work closely with cross-functional teams to integrate data, AI, and genomics into various projects and initiatives.
- Use your background in data and AI/ML to analyze complex data sets and generate actionable insights.
- Actively participate in team meetings, brainstorming sessions, and other collaborative efforts to drive progress.
- Take initiative and proactively identify opportunities for improvement in processes and procedures.
- Communicate and present findings and recommendations to team members and stakeholders.
- Represent the company as a leader in healthcare and contribute to its mission to revolutionize the field of biopharmaceuticals.
Strong Background In Data Science And Machine Learning Techniques: Candidates Should Possess A Solid Understanding Of Data Analysis And Machine Learning Algorithms, As Well As Experience With Programming Languages Such As Python, R, And Sql.
Familiarity With Genomics And Genetics: As A Dags Co-Op At Merck, Candidates Should Have A Strong Interest And Understanding Of Genomics And Genetics, As Well As Experience Working With Genomic Data.
Excellent Communication And Collaboration Skills: Dags Co-Op Candidates Should Be Able To Effectively Communicate Complex Technical Concepts And Collaborate With Cross-Functional Teams.
Knowledge Of Ai And Its Applications In Drug Discovery: Candidates Should Have A Solid Understanding Of Artificial Intelligence And Its Applications In The Pharmaceutical Industry, Particularly In Drug Discovery.
Previous Internship Or Project Experience In Data Science And/Or Genomics: Candidates With Previous Internship Or Project Experience In Data Science Or Genomics Will Be Preferred, As It Demonstrates Hands-On Experience And A Strong Interest In The Field.
Data Analysis
Machine Learning
Deep Learning
Data Visualization
Artificial Intelligence
Data Mining
Statistical modeling
Bioinformatics
Predictive modeling
Genome Sequencing
Genomics Research
Communication
Conflict Resolution
Customer Service
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data, AI, and Genome Sciences (DAGS), AI/ML Co-op in Cambridge, MA, USA is $65,000 - $85,000 per year. This range can vary depending on the specific company, job responsibilities, and level of experience. Some companies may offer additional benefits such as bonuses, stock options, and healthcare benefits. It is important to research and negotiate salary and benefits during the job offer process.
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Merck & Co., Inc., d.b.a. Merck Sharp & Dohme outside the United States and Canada, is an American multinational pharmaceutical company and one of the largest pharmaceutical companies in the world. Merck & Co., Inc. engages in the provision of health solutions through its prescription medicines, vaccines, biologic therapies, animal health, and consumer care products. It operates through the following segments: Pharmaceutical, Animal Health, Alliances and Healthcare Services. The Pharmaceutical segment includes human health pharmaceutical and vaccine products marketed either directly by the company or through joint ventures.
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