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Thermo Fisher Scientific

Sr. Data Scientist (Application Development)

Posted 7 Days Ago
Remote
Hiring Remotely in North Carolina
Senior level
Remote
Hiring Remotely in North Carolina
Senior level
The Sr. Data Scientist will design and develop applications using machine learning and AI, improve operational efficiencies, and collaborate with teams to resolve business challenges.
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Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.

A Day in the Life:

We are seeking a dedicated and experienced Sr. Data Scientist with a focus in Application Development, having a solid background in computer science, web development (front and back-end), statistics, machine learning, design, and leadership skills to join our team. As a Sr. Data Scientist, you will play a crucial role in designing, developing, deploying, and maintaining applications deployed in multiple frameworks to advance operational efficiencies and enhance data volume and integrity for future AI development.

Responsibilities:

  • Utilize advanced machine learning, generative AI, and agentic AI frameworks to innovate enterprise applications.
  • Adhere to software development lifecycle foundations to design, develop, and deploy web and mobile applications built to solve complex business challenges.
  • Identify meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.
  • Apply time management skills to deliver successful software products within timelines outlined.
  • Collaborate effectively with multi-functional customers and peers to identify business challenges and presenting proposed solutions.

Requirements:

  • Bachelor's degree or equivalent in a relevant field.
  • Minimum of 5+ years of relevant experience.

Knowledge, Skills, and Abilities:

  • Strong computer science background, with expertise in applying these principles of software development lifecycle within application development.
  • Advanced proficiency in statistical and generic programming languages of R, Python, & SQL
  • Advanced proficiency in frameworks including R/Shiny, Shiny for Python, React
  • Advanced proficiency in web programming languages including HTML, CSS, JavaScript, and node.js.
  • Demonstrated skills in agile development and deployment pipelines with CI/CD fundamentals.
  • Preferred experience building apps within the Databricks Apps Environment
  • Preferred knowledge of technical areas such as Snowflake, Databricks, Spark
  • Preferred experience of Azure or AWS cloud infrastructure
  • Solid understanding of data management approaches, including relational databases, data schemas, object stores, column stores, and/or document stores.
  • Demonstrable ability to deliver accurate work products in a multi-functional matrix environment, managing multiple competing priorities.
  • Superb communication skills, with the ability to effectively communicate and influence stakeholders at all levels.
  • Demonstrated creativity in identifying optimized user experiences for customer success in adoption.

This position offers a fully remote work arrangement for those located in the United States of America, allowing you to work from home.

Travel requirements for this role are rare, but occasional domestic or international travel may be necessary.

Salary Transparency

This is a salaried role that will also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. Compensation will be initially discussed during the screening period, with actual compensation confirmed in writing at the time of offer.

We offer a comprehensive Total Rewards package that our US colleagues and their families can count on, which generally include:

• A choice of national medical and dental plans, and a national vision plan

• A wellness program, and valuable health incentive opportunities for company contributions to a Health Reimbursement Accounts (HSAs) or Health Savings Account (HSA)

•Tax-advantaged savings and spending accounts and commuter benefits

• Employee assistance programs

• At least 120 hours paid time off (PTO). 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, short- and long-term disability, and volunteer rime off in accordance with company policy.

• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

Accessibility/Disability Access

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

EEO & Affirmative Action

Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

Top Skills

AWS
Azure
CSS
Databricks
HTML
JavaScript
Node.js
Python
R
R/Shiny
React
Shiny For Python
Snowflake
Spark
SQL

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