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.

• Effectively collaborates with cross-functional stakeholders to identify questions and business challenges and determine plans of action in order to effectively define, design, and develop machine learning models and algorithms to derive insights into each problem.
• Generates and tests hypotheses and analyzes and interprets the results.
• Navigates large, complex datasets for data mining, profiling, and curation, and natural language processing (NLP), as well as identifies related data that is fundamental to successfully applying predictive and machine learning techniques.
• Designs, develops and programs methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.
• Designs, develops, and evaluates predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges.
• Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.
• Effectively communicates and guides stakeholders through the machine learning process; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership.

• Bachelor's degree or equivalent and relevant formal academic / vocational qualification
• Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ years).
• In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.

• Strong working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis
• Demonstrated skills with exploratory data analysis techniques involving structured and unstructured data, machine learning (e.g. decision trees, neural networks, clustering, classification, Bayesian networks), model validation techniques, and data visualization techniques
• In depth knowledge in one or more of the following technical areas: Snowflake, AWS EMR, Python, Spark, R, Shiny, jupyter, and associated packages and libraries from numpy, pandas, SciPy or NLTK
• Thorough knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc.
• Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data
• Substantial knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores
• Proven ability to deliver accurate work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while managing multiple competing priorities
• Sound analytical skills and demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools
• Solid executive presence with ability to communicate effectively and influence at all levels
• Demonstrated creativity in identifying non-traditional data sources in addition to rigorous application of leading analytic techniques

• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional drives to site locations with occasional travel both domestic and international.

• Frequently stationary for 6-8 hours per day.
• Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists.
• Frequent mobility required.
• Occasional crouching, stooping, bending and twisting of upper body and neck.
• Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop computer with a maximum lift of 15-20 lbs.
• Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
• Ability to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences.
• Frequently interacts with others to obtain or relate information to diverse groups.
• Works independently with little guidance or reliance on oral or written instructions and plans work schedules to meet goals. Requires multiple periods of intense concentration.
• Performs a wide range of variable tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence. Ability to perform under stress. Ability to multitask.
• Regular and consistent attendance.