Senior Scientist Job at MillenniumSoft Inc (Durham)

Senior Scientist I/II - Analytical Development (CMC)

The Senior Scientist will be responsible for managing analytical development, gu...

Location

United States , Brisbane

Salary:

150000.00 - 176000.00 USD / Year

Mammoth Biosciences

Expiration Date

Until further notice

Requirements

PhD in Analytical Chemistry, Pharmaceutical Sciences, Biochemistry, or related field with 3+ years of relevant industry experience
MS with 6 years of experience in a biotech/pharma setting
Scientist II: PhD + 5 years minimum experience or MS + 8 years minimum experience
Strong working knowledge of oligo/mRNA-LNP related analytical methods
Hands-on expertise with relevant analytical techniques for gene/cell therapies or complex biologics (e.g., HPLC, LC-MS, DLS, UV, ELISA, qPCR/ddPCR, particle/aggregate characterization, and/or enzymatic assays)
Strong understanding of ICH guidelines, phase-appropriate method validation, and regulatory expectations
Proven track record of guiding method qualification and validation in early phase settings
Experience managing analytical workflows at CDMO/CTLs
Excellent problem-solving, communication, and cross-functional collaboration skills
Ability to regularly work onsite at our Brisbane, CA location

Job Responsibility

Support analytical method development and implementation, both internally and via contract labs, to support the characterization, release testing, and stability of CRISPR-based drug substance and drug product
Establish internal capabilities for select analytical assays in R&D labs, including method qualification and troubleshooting for nucleases, guide RNAs, and delivery vehicles
Manage relationships with external testing labs (CTLs) and manufacturing partners (CDMOs) to ensure method development, validation, and transfer meet project timelines and regulatory expectations
Draft and review protocols, reports, and method qualification and validation documentation in compliance with ICH and relevant regulatory guidelines
Provide technical leadership on assay design and analytical strategy, ensuring methods are phase-appropriate, scalable, and tailored for novel CRISPR-based genetic medicines
Support preparation of CMC documentation for regulatory submissions (e.g., INDs)
Evaluate and implement emerging analytical technologies that align with ultracompact CRISPR platform and pipeline needs
Help build and mentor a small team as the company scales

What we offer

Company-paid health/vision/dental benefits
Unlimited vacation and generous sick time
Company-sponsored meals and snacks
Wellness, caregiver and ergonomics benefits
401(k) with company matching

Fulltime

Senior Scientist – Research Computational Biology

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States

Salary:

143320.00 - 174539.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree and 3 years of relevant research experience
Bachelor’s degree and 5 years of relevant research experience
Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and implementing creative and holistic computational strategies to address challenging research questions
Demonstrated expertise in the analysis and interpretation of single cell omics data
Excellent presentation and communication skills to convey complex findings to diverse audiences
Self-starter with a collaborative mentality and a drive for continuous growth

Job Responsibility

Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities
Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships
Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

AI Data Scientist - Senior

We are seeking a highly skilled and experienced Senior Data Scientist / AI Engin...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, or a related field. A PhD is preferred
Minimum of 5 years of experience in data science and AI engineering
Strong proficiency in programming languages like Python
In-depth knowledge of machine learning algorithms and techniques
Experience with LLMs and RAG or agent frameworks (Langchain, LLamaIndex, etc.)
Proficiency in NLP (Natural Language Processing) techniques and libraries
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently and in a team environment
Strong attention to detail and ability to prioritize tasks

Job Responsibility

Collaborate with cross-functional teams to identify, understand, and solve business problems
Design, develop, and implement advanced machine learning algorithms, models, and LLM-based pipelines
Analyze large datasets to extract meaningful insights and patterns
Write production-quality code in Python, using standard software engineering best practices (git, testing, etc.)
Stay up-to-date with the latest advancements in AI, GenAI, and data science
Collaborate with software engineers to integrate AI models into production systems
Provide guidance and mentorship to junior data scientists and engineers

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

Switzerland , Zurich

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA
Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth, Company-paid subscription to HeadSpace, Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth: Development Dollars, Leadership development, Access to thousand of on-demand e-learnings
Travel Discounts
Employee Resource Groups
5 weeks paid vacation

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

Denmark , Copenhagen

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year
No meeting Fridays
Paid parental leave
Generous paid vacation
Time off for your birthday
Paid volunteer time
Development Dollars

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

United States , Cambridge

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Development Dollars
Leadership development

Fulltime

Senior Data Scientist

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel se...

Location

Germany , Berlin

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Development Dollars
Leadership development

Fulltime

Senior Data Scientist

Join Our Expert Team. We are seeking a skilled Senior Data Scientist to join our...

Location

Austria , Vienna

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Minimum 3 years of experience as a Data Scientist or in a similar role
Strong skills in programming languages such as Python
Experience in developing and optimizing machine learning models
Knowledge of prompt engineering techniques for natural language models
Ability to analyze large datasets and extract valuable insights
Team-oriented mindset and effective communication with clients
Curiosity and interest in emerging technologies
Good command of English (B2 level)
Flexibility in adapting to new contexts and diverse projects
Availability for short- and medium-term business travel

Job Responsibility

Design and optimize predictive models, machine learning and deep learning algorithms
Collaborate with clients to define needs and deliver data-driven solutions
Implement data-based solutions with Azure Databricks, Microsoft Fabric, and Azure Machine Learning
Contribute to R&D initiatives to advance analytical techniques
Create reports and visualizations to communicate insights effectively
Analyze large datasets to extract valuable information
Use Microsoft tools like SQL Server and Azure SQL Database for data management and analysis
Develop and refine prompts for LLMs/SLMs to enhance AI solution performance
Extract insights from big data using Azure Data Lake and Azure Synapse Analytics
Grow in a dynamic, collaborative environment with skilled and motivated teammates

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

Senior Scientist

MillenniumSoft Inc

Location:
United States , Durham

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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