Jobs
Required Skills
Python
SQL
Azure
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Qualifications:
Education and Experience:
Bachelor's degree or equivalent and relevant formal academic / vocational qualification
Master's degree preferred
Previous experience that provides the knowledge, skills, and abilities to perform the job (minimum
2+ 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.
Knowledge, Skills, and Abilities:
- Veeva AI & Saa
S AI Evaluation:
-
Ability to evaluate vendor-provided AI capabilities (specifically Veeva AI) where model internals are not directly accessible.
-
Experience assessing AI behavior for quality, consistency, failure modes, latency, and operational constraints in enterprise workflows.
-
Ability to distinguish when a SaaS AI capability should be adopted as-is, adapted with platform guardrails, or rejected in favor of a custom internal solution.
-
Generative AI Systems Understanding
-
Strong understanding of generative AI behavior, including non-determinism, hallucination risk, prompt sensitivity, and configuration-driven outcomes.
-
Experience applying lightweight evaluation techniques for generative AI (e.g., task-specific test cases, accuracy checks, hallucination tracking, refusal behavior).
-
Ability to reason about AI suitability in regulated or high-impact decision contexts.
-
AI Evaluation, Validation, and Documentation
-
Proficiency in documenting AI evaluations in clear, audit-ready formats, including data flows, decision points, risks, and mitigations.
-
Ability to partner with AI governance functions to support model cards, validation summaries, and AI registry or approval artifacts.
-
Experience supporting audit and compliance reviews through evidence collection (logs, configurations, access controls).
-
Platform Integration & AI Guardrails Ability to integrate SaaS AI capabilities into enterprise platforms using approved architectural patterns.
-
Experience designing and implementing integration “shims” such as additional logging, input/output filtering, workflow controls, or human-in-the-loop steps.
-
Understanding of AI telemetry requirements, including latency, error handling, usage tracking, and cost observability.
-
Technical Proficiency
-
Strong proficiency in Python and modern SQL for integration, analysis, and validation tasks.
-
Experience working with REST APIs, SaaS integrations, and enterprise authentication and authorization patterns.
-
Familiarity with Databricks concepts (jobs, notebooks, MLflow) and cloud data storage patterns (e.g., Azure Blob or S3-equivalent).
-
Operating in Regulated Environments
-
Experience working within regulated, validated, or compliance-driven environments (e.g., clinical research, life sciences, healthcare).
-
Ability to operate within defined separation of duties across build, review, and operate phases.
-
Comfort working in documentation-first and control-oriented delivery models.
-
Collaboration and Ways of Working
-
Proven ability to work effectively in a multi-functional, matrixed environment across Product, Platform Engineering, AI Governance, and external vendors.
-
Strong written and verbal communication skills, with the ability to explain technical AI behavior and risks to non-technical stakeholders.
-
Ability to manage multiple concurrent evaluations and priorities in the context of evolving vendor roadmaps and business needs.
Management Role:
No management responsibility
Working Conditions and Environment:
- 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.
Physical Requirements:
- 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.
Percent Billable:
0% - 20%
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About Thermo Fisher

Thermo Fisher
PublicThermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.
10,001+
Employees
Waltham
Headquarters
Reviews
3.9
2 reviews
Work Life Balance
3.5
Compensation
2.5
Culture
3.5
Career
4.0
Management
3.0
65%
Recommend to a Friend
Pros
Large company with extensive resources
Structured internship program
Career opportunities in product management
Cons
Low compensation ($22/hour)
High cost of living in location
Expensive housing/rent
Salary Ranges
2,260 data points
Mid/L4
Mid/L4 · Adobe Analytics Launch Developer
1 reports
$137,796
total / year
Base
$105,997
Stock
-
Bonus
-
$137,796
$137,796
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
12%
Experience
Positive 12%
Neutral 63%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Industry Specific
News & Buzz
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