CrawlJobs Logo

Senior Scientist - Downstream Analytics

United Kingdom, Southampton 45000.00 - 55000.00 GBP / Year · Job Posted January 08, 2026
Apply Position
Job Link Share

Job Description

Senior Scientist – Downstream Analytics (Large Molecules). We’re partnering with an innovative scientific organisation to recruit a Senior Scientist with strong experience in downstream analytical processes, including HPLC and bioprocessing techniques, to join a high-performing team based in Southampton. This hands-on role offers the chance to support the development of modified nucleic acids and peptides, drive analytical method development, and contribute to the advancement of large molecule therapeutics in a collaborative, fast-paced environment. You’ll take the lead on analytical workflows for nucleic acids, peptides, and antibodies, ensuring high standards of quality, compliance, and scientific rigour. The role will include method development, instrument maintenance, and cross-functional collaboration across R&D and production teams. This position is ideal for a scientist who enjoys working across disciplines, mentoring junior colleagues, and staying at the forefront of analytical innovation.

Job Responsibility

  • Lead downstream analytical workflows using HPLC, UPLC, PAGE, flash chromatography, and related techniques
  • Contribute to the purification and characterisation of large molecules, such as peptides and antibodies
  • Support method development and continuous improvement in analytical approaches
  • Collaborate with chemistry and production teams to support small molecule and oligonucleotide preparation
  • Maintain, calibrate, and optimise analytical instrumentation in line with ISO and internal quality systems
  • Mentor and support Associate Scientists and Lab Technicians
  • Ensure accurate documentation and maintain data integrity across workflows
  • Promote and uphold Health, Safety, and Environmental (HSE) standards
  • Manage stock levels of analytical reagents and consumables
  • Stay up to date on emerging trends in bioprocessing and analytical technologies

Requirements

  • A PhD (or equivalent experience) in Analytical Chemistry, Biochemistry, or a related field
  • Strong hands-on experience in HPLC and bioprocessing within a biotechnology, pharmaceutical, or life sciences environment
  • Knowledge of purification and characterisation methods for peptides, antibodies, or similar large molecules
  • Experience with TFF or tangential flow filtration (advantageous)
  • Familiarity with ISO or GMP-regulated environments
  • Ability to lead technical projects and support team development
  • Strong communication and problem-solving skills
  • A flexible, proactive mindset with strong attention to detail

Nice to have

Experience with TFF or tangential flow filtration

What we offer

  • Holidays: 25 days annual leave + 8 bank holidays
  • Pension: 6% employer contribution
  • Life Assurance: 4x salary
  • Flexible working hours
  • Long service awards and recognition scheme
  • Employee Assistance Programme with 24/7 remote GP access
  • Annual flu vaccinations
  • Cycle to work scheme and gym discounts
  • Discounts and savings platform
  • Professional membership reimbursement
  • Referral incentives
  • Social events and volunteering days

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Scientist - Downstream Analytics

8 matching positions

Senior Data Scientist - Clinical Informatics (Analytics Enablement)

We're building a world of health around every individual — shaping a more connec...
Location
Location
United States , New York
Salary
Salary:
101970.00 - 203940.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Build the clinical data feature store
  • Develop analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation
  • Build queries, dashboards, and data visualizations
  • Partner with clinical, operational, and business stakeholders
  • Maintain data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Bonus, commission or short-term incentive program
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Senior Data Scientist will work closely with Product and Engineering to tran...
Location
Location
United States , Chicago
Salary
Salary:
155000.00 - 194000.00 USD / Year
arrivelogistics.com Logo
Arrive Logistics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree or PhD in a quantitative field and 5+ years of industry experience building and owning production data science or machine learning systems
  • Experience developing predictive or decisioning models used in operational or real-time settings
  • Demonstrated experience working with complex, multi-source datasets, including feature development and data quality challenges
  • Experience building, deploying, and evaluating NLP or LLM-based systems in production
  • Strong proficiency in Python and SQL in production analytics or machine learning environments
  • Proven ability to partner with engineering teams to deploy, monitor, and iterate on models and data pipelines
  • Ability to independently scope and drive ambiguous data science problems from problem definition through production impact
Job Responsibility
Job Responsibility
  • Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes
  • Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases
  • Design and maintain evaluation frameworks that reflect real-world behavior and business impact
  • Build and evolve LLM- and NLP-based pipelines to transform unstructured data into reliable operational datasets
  • Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale
  • Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes
  • Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration
  • Contribute to and define monitoring for model performance, data quality, and downstream business impact
  • Act as a senior technical owner and reviewer for data science work across the team
What we offer
What we offer
  • medical, dental, vision, life, and disability coverage
  • matching 401(k) program
  • Employee Resource Groups
  • office wide engagement activities, team events, happy hours
  • casual dress code
  • CTA and L train stops walking distance
  • bike storage
  • LifeStart gym in office building
  • free counseling sessions through Employee Assistance Program
  • Referral Program
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Senior Data Scientist will work closely with Product and Engineering to tran...
Location
Location
United States , Austin
Salary
Salary:
Not provided
arrivelogistics.com Logo
Arrive Logistics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree or PhD in a quantitative field and 5+ years of industry experience building and owning production data science or machine learning systems
  • Experience developing predictive or decisioning models used in operational or real-time settings
  • Demonstrated experience working with complex, multi-source datasets, including feature development and data quality challenges
  • Experience building, deploying, and evaluating NLP or LLM-based systems in production
  • Strong proficiency in Python and SQL in production analytics or machine learning environments
  • Proven ability to partner with engineering teams to deploy, monitor, and iterate on models and data pipelines
  • Ability to independently scope and drive ambiguous data science problems from problem definition through production impact
Job Responsibility
Job Responsibility
  • Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes
  • Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases
  • Design and maintain evaluation frameworks that reflect real-world behavior and business impact
  • Build and evolve LLM- and NLP-based pipelines to transform unstructured data into reliable operational datasets
  • Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale
  • Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes
  • Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration
  • Contribute to and define monitoring for model performance, data quality, and downstream business impact
  • Act as a senior technical owner and reviewer for data science work across the team
What we offer
What we offer
  • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
  • Invest in your future with our matching 401(k) program
  • Build relationships and find your home at Arrive through our Employee Resource Groups
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home
  • our dress code is casual
  • Park your car for free on site!
  • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew
  • Sweat it out with the team at our onsite gym
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Fulltime
Read More
Arrow Right

Senior Scientist, Reagents Sustaining and Applications

We are seeking a Senior Scientist to join the Reagent Sustaining and Application...
Location
Location
United States , Pleasanton
Salary
Salary:
158400.00 - 214400.00 USD / Year
10xgenomics.com Logo
10x Genomics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS or PhD in molecular biology, biochemistry, genetics, microbiology, analytical chemistry, or related fields
  • 12+ years (BS), 10+ years (MS) or 5+ years (PhD) of relevant experience in reagent or assay development and optimization, preferably in the Biotechnology industry
  • Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers
  • Ability to design and execute experiments to measure the impact of process improvements and/or formulation changes
  • Experience with a broad variety of molecular biology and analytical techniques including qPCR, nucleic acid isolation, use of plate readers, Bioanalyzers, gel imagers, real-time PCR instruments, etc.
  • Experience with single cell assays including cell handling, library preparation and downstream analysis
  • Experience investigating, identifying, documenting, communicating, and resolving quality control issues in a controlled manufacturing environment
  • Experience defining, documenting, communicating, and transferring new manufacturing workflows into controlled manufacturing environments
  • Meticulous attention to detail and a conscientious work ethic
Job Responsibility
Job Responsibility
  • Lead efforts in testing new materials, tools, and workflows to improve 10x’s state-of-the-art products
  • Collaborate with key internal and external partners to troubleshoot and mitigate any issues that may arise in 10x’s Chromium product line
  • Design and execute experiments to assess the impact of protocol, reagent, or process changes on 10x’s Assays
  • Design, test, and implement process improvements in 10x’s Chromium product line
  • Perform statistical analyses on key assay and QC metrics
  • Update manufacturing documents and present results
What we offer
What we offer
  • Equity grants
  • Comprehensive health and retirement benefit programs
  • Annual bonus program or sales incentive program
  • Competitive and comprehensive health benefits package
  • Easy-to-use benefits that promote wellbeing
  • Family friendly policies like parental leave
  • Generous Time Off
  • Fulltime
Read More
Arrow Right

Principal Data Scientist Manager

At Worldwide Learning (WWL), our mission is to inspire every person and organiza...
Location
Location
United States , Multiple Locations
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR equivalent experience
  • 3+ years people-management experience
Job Responsibility
Job Responsibility
  • Lead product data insights for Microsoft internal and external skilling/learning solutions such as AI Skills Navigator to drive product improvement and better learning outcomes for users and customers
  • Build a global learner graph representing relationships among skills, certifications, content, modalities, and multi-step learning pathways using graph intelligence techniques (GraphRAG, embeddings, entity resolution, GNNs)
  • Develop, operationalize, and evolve competency models, skill taxonomies, and certification readiness frameworks to measure proficiency progression and mastery
  • Create multi-step journey analytics for learners, partners, and field roles using sequential modeling, trajectory prediction, and pathway optimization
  • Apply LLMs and multi-modal embeddings to learning content (text, transcripts, assessments) to align content to skills, outcomes, and recommended learning paths
  • Invent and deliver standardized metrics and KPI frameworks that quantify learning outcomes, content effectiveness, competency development, and readiness improvement
  • Lead A/B testing, uplift modeling, counterfactual analysis, and causal inference to evaluate the impact of learning programs, content interventions, and skilling experiences
  • Build model evaluation frameworks including reliability scoring, bias detection, longitudinal cohort analysis, and scenario simulation
  • Quantify the relationship between learning outcomes and downstream business impact such as customer success, partner readiness, deployment velocity, Azure consumption, and revenue performance
  • Partner with the Microsoft Partner Division, Global Partner Solutions (GPS), and Worldwide Learning to assess partner skilling, certification progress, capability gaps, and ecosystem readiness
  • Fulltime
Read More
Arrow Right

Software & Data Engineer Intern

Join Entalpic's Platform team and contribute to the core software foundations of...
Location
Location
France , Paris
Salary
Salary:
Not provided
breega.com Logo
Breega
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field
  • Strong interest in data engineering, data systems, and infrastructure for machine learning or scientific applications
  • Proficiency in Python and familiarity with at least one other programming language is a plus
  • Foundational knowledge of SQL and relational databases, with curiosity about NoSQL systems
  • Understanding of core data concepts such as ETL, data modeling, and data pipelines
  • Must be comfortable working in English in a technical environment
  • Motivated, curious, and eager to learn in a fast-paced startup setting
Job Responsibility
Job Responsibility
  • Data Engineering Implementation: Help build and maintain data pipelines that process and integrate multimodal data including simulation results, scientific text, and experimental measurements
  • Data Storage and Organization: Contribute to the implementation and organization of data storage solutions, ensuring data is well-structured, accessible, and documented
  • Automation and Tooling: Write scripts to automate data ingestion, cleaning, and transformation tasks under the guidance of senior engineers
  • Data Visualization and Analytics: Support the creation of basic data visualizations and analytical dashboards to help teams explore datasets, monitor data quality, and gain insights from experimental, simulation, and textual data
  • Applied ML Research: Prototype end-to-end pipelines using state-of-the-art LLMs for chemical entity extraction and explore ranking methods to improve data quality and retrieval for downstream AI systems
  • Data Quality and Documentation: Assist with data validation, basic lineage tracking, and documentation to improve data reliability and reproducibility
  • Infrastructure Collaboration: Work with data engineers, data scientists, and DevOps to understand how data systems are deployed and scaled on cloud platforms such as AWS or GCP
  • Cross-team Collaboration: Interact with scientists and engineers to understand data needs and help translate them into practical data solutions
What we offer
What we offer
  • Competitive salary + full reimbursement of your transport card
  • Flexible work environment: Remote-Friendly with a minimum of 3 days in Paris offices per week (Station F)
  • 1 paid day off per month
  • Professional development opportunities: access to conferences and internal learning sessions
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

This Senior Data Scientist will drive causal and machine learning-based analyses...
Location
Location
United States , San Francisco
Salary
Salary:
170000.00 - 190000.00 USD / Year
tonal.com Logo
Tonal
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong statistical experience in causal inference methods like Difference in Difference, propensity score matching, regression discontinuity analysis, and randomized control trials
  • Applied experience building and evaluating machine learning models for prediction, segmentation, or uplift in a product or business context
  • Ability to develop reproducible, scalable analytical notebooks and workflows that transition effectively from development to production environments
  • Experience partnering with product teams to define feature-level KPIs and building robust, well-documented dbt models to expose those metrics across analytics layers
  • Strong track record of creating clear, decision-oriented visualizations in tools such as Looker and Databricks
  • 3-5+ years of experience
  • Tools and libraries: dbt, databricks, statsmodels, scipy, scikit-learn, causalml, prophet
  • Languages: sql, python, r
Job Responsibility
Job Responsibility
  • Design, implement, and productionalize statistically rigorous causal analyses to quantify the impact of product features on user behaviors, engagement metrics, and downstream business outcomes
  • Develop and maintain causal frameworks that link product interventions to behavioral change, engagement shifts, and business performance
  • Select and apply appropriate experimental and observational methods, leveraging regression- and ML-based approaches where appropriate to control for confounding and heterogeneity
  • Validate causal findings through robustness checks, sensitivity analyses, and clear articulation of assumptions and limitations
  • Translate results into clear, actionable recommendations that inform product strategy, marketing decisions, and executive-level prioritization
  • Develop analytical notebooks and workflows that are reproducible, scalable, and suitable for deployment in production environments
  • Partner with product and cross-functional stakeholders to define feature-level engagement and efficacy KPIs aligned with business objectives
  • Incorporate model-derived signals (e.g., predicted engagement, risk scores, uplift estimates) into KPI frameworks where appropriate to improve measurement and decision-making
  • Implement testing, documentation, and versioning practices to ensure KPI definitions are reliable, discoverable, and consistently interpreted
  • Maintain metric documentation and metadata to support self-service analytics and cross-functional consumption
What we offer
What we offer
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Senior, Data Scientist

Join Walmart and your work could help over 275 million global customers live bet...
Location
Location
United States of America , Sunnyvale
Salary
Salary:
117000.00 - 234000.00 USD / Year
walmart.com Logo
Walmart
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Computer Science with a specialization in Computer Vision, Machine Learning, or equivalent practical experience.
  • 3+ years of experience with machine learning algorithms and tools.
  • Strong foundation in statistical analysis, experimental design (A/B testing), and causal inference.
  • Hands-on experience with Generative AI evaluation (e.g., using LLMs/VLMs for evaluation, computing FID/IS/CLIP scores, or designing perceptual studies).
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow) for analyzing model outputs and building evaluation pipelines.
  • Experience processing unstructured data (image, video, 3D meshes) for analytical purposes.
Job Responsibility
Job Responsibility
  • Design Multi-Modal Evaluation Frameworks: Develop and validate novel evaluation metrics for non-deterministic outputs, specifically video, image, for 3D assets, and audio.
  • Build 'AI-as-a-Judge' Systems: Fine-tune Vision-Language Models (VLMs) and Reward Models to serve as automated evaluators, creating scalable proxies for human judgment.
  • Lead Experimentation & Causal Inference: Design and analyze A/B tests to measure the downstream business impact of GenAI content
  • apply causal inference techniques to understand how specific asset attributes drive user engagement.
  • Orchestrate Human-in-the-Loop (RLHF) Strategy: Define protocols for human evaluation, managing the relationship with annotation partners to create high-quality 'Golden Sets' for benchmarking and Reinforcement Learning from Human Feedback (RLHF).
  • Strategic Cross-Functional Partnership: Collaborate with ML Engineers and Product Managers to establish 'Go/No-Go' model launch criteria based on latency, safety, and perceptual quality standards.
  • Research & Innovation: Stay current with state-of-the-art research in perceptual quality (e.g., FID, CLIP scores, VQA) and implement advanced techniques to detect hallucinations, artifacts, or bias in generated content.
What we offer
What we offer
  • 401(k) match
  • stock purchase plan
  • paid maternity and parental leave
  • PTO
  • multiple health plans
  • medical
  • vision
  • dental
  • company-paid life insurance
  • short-term and long-term disability
  • Fulltime
Read More
Arrow Right