Senior Data Scientist- remote in the US

at  Thermo Fisher Scientific

JOB DESCRIPTION

Thermo Fisher’s CRG group is dedicated to creativity, innovation, and making a significant impact on healthcare. We are a leading clinical research organization committed to providing new and life-changing therapies to patients. As part of our mission, we are focused on applying Generative AI & Data Science to unlock the vast potential of healthcare data. We are seeking experienced AI engineers with expertise in Generative AI and Predictive Analytics to join our team and contribute to improving all aspects of clinical research operations.

SUMMARY:

We are looking for a Senior Data Scientist with a proven background in traditional Machine Learning and expertise in Generative AI. In this role, you will be responsible for designing, developing, and implementing cutting-edge generative models. You will drive innovation and provide technical leadership to a team of data scientists. Collaboration with cross-functional teams, including clinicians, product managers, and researchers, will be essential in finding opportunities, designing solutions, and delivering high-impact projects.

WORK EXPERIENCE AND EDUCATION REQUIREMENTS:

Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
Background in clinical research, healthcare, or pharma is preferred.
Minimum of 3 years as a Data Scientist or Machine Learning Engineer, with expertise in Generative AI.
Experience implementing AI/data science algorithms using modern ML frameworks (e.g. Regression Models, Statsmodels, Time Series Forecasting, GBM, XgBOOST etc ).
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure )
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc. some experience with Docker and Kubernetes
Solid background in machine learning, deep learning, and probabilistic modeling.
Proficiency in data science tools and frameworks, such as PyTorch, Tensorflow, Scikit-learn, and Keras.
In depth knowledge in one or more of the following technical areas is preferred: Snowflake, AWS EMR, Data Bricks (Spark), etc.
Experience designing and implementing large-scale data pipelines and processing systems.
Familiarity with cloud platforms (AWS & Azure) and containerization technologies (Docker, Kubernetes).
Strong programming skills in Python and experience working with version control systems (Git).
Superb communication and teamwork skills.
Experience mentoring junior colleagues and interns.
Benefits:
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
Apply today! http://jobs.thermofisher.com
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Accessibility/Disability Access

Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.

• This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response

Design, develop, and deploy generative models for various applications with a focus on text generation and semantic entity extraction.
Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
Stay up to date with the latest research and advancements in Generative AI and related fields.
Collaborate with other teams, such as engineering and product management, to integrate models into production environments.
Establish and maintain documentation for models, algorithms, and processes.
Ensure all projects meet quality, performance, and security standards.
Communicate sophisticated concepts and findings effectively to both technical and non-technical audiences.