Scientist - Analytical Development Job at SRG (Speke, Liverpool)

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

Data Scientist - Analytics

We are seeking a Data Scientist – Analytics to join our team and help bridge the...

Location

United States , Palo Alto

Salary:

124000.00 - 186000.00 USD / Year

AppLovin

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline
Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis
0–3 years of experience in data analytics or data science (internships or projects count)
Proficiency with SQL and at least one analytical programming language (Python preferred)
Ability to work with large datasets and translate findings into actionable recommendations
Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences
Curious, proactive mindset with a desire to learn quickly and contribute meaningfully

Job Responsibility

Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance
Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis
Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends
Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities
Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives
Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health
Assist in designing A/B tests, computing key metrics, and interpreting results
Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making
Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics
Work with product and business teams to understand analytical needs and translate them into actionable solutions

What we offer

dental
vision
other benefits
equity
other forms of incentive compensation

Fulltime

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience working with data
BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
experience in building business impacting analytic solutions
experience using data to influence operational teams
track record of successfully driving analytic initiatives
ability to bridge the gap between business problem and data
strong communication skills (non-technical) and core tech skills
ability to learn new things quickly
ability to take an ambiguous assignment and move rapidly to deliver iterative value
ability to mentor / grow less experienced analysts

Job Responsibility

Work with a strong group of data scientists to advance core data artifacts
develop strong collaborative partnerships with business and operations leaders
provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
work with a cross functional team to drive improvement and efficiency
use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
address business challenges, performance bottlenecks and growth opportunities with analytic solutions
propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
play the role of analytic visualization expert in cross functional teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Analytical & Radiochemist / Environmental Scientist

12-month placement for a Radiochemistry or Environmental Scientist undergraduate...

Location

United Kingdom , Aldermaston near Reading

Salary:

Not provided

AWE

Expiration Date

Until further notice

Requirements

Chemistry
Natural Sciences
Environmental Sciences
Physics or combined Chemistry/Physics
Growth mindset
Curiosity
Innovation
Resilience
Teamwork

Job Responsibility

Work with world-class scientists providing analytical capabilities and expert advice
Ensure regulatory and license conditions are met
Perform radiochemistry separations to isolate and purify trace actinides from environmental samples
Characterise isotopic and elemental signatures using inorganic mass spectrometry
Isolate and purify a range of nuclides from environmental and radioactive samples
Perform radiometric analysis and data analysis
Plan and perform analysis using gamma spectroscopy, liquid scintillation counting and alpha spectrometry
Assist in environmental programme development and review to support Best Available Techniques (BAT) studies
Support the bulk waste characterisation programme
Manage tasks and sentence waste using statistical reporting

What we offer

£23,500 + BENEFITS
270 hours of annual leave
Nine-day fortnight (every other Friday off)
Work with top leaders in their field
Dedicated training

Fulltime

Principal Scientist – Synthetic Separations

Amgen is seeking a highly motivated Senior Principal Scientist for their Discove...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry
PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&D environment
Minimum of 5 years in a leadership or people management role
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds
Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles
Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction
Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics
Excellent written and verbal communication skills
Prepare concise, high-quality reports and presentations for internal review and external disclosure

Job Responsibility

Lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences
Bridge synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen’s small molecule discovery pipeline
Lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries
Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary
Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization
Assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure

Scientist - Analytical Development

SRG

Location:
United Kingdom , Speke, Liverpool

Category:
Pharmacy

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 21, 2026

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