Advanced Methods Scientist Job at Robert Half (Chicago)

Scientist – Advanced Material Characterization and Investigations (AMCI)

Are you a passionate scientist eager to push the boundaries of analytical techni...

Location

Belgium , Beerse

Salary:

Not provided

Randstad

Expiration Date

July 13, 2026

Requirements

PhD in Analytical Chemistry, Pharmaceutical Sciences, or a related field is preferred
Candidates with a Master’s degree and at least 6 years of relevant experience will also be considered
Proven experience in Mass Spectrometry (Triple Quadrupole and High-Resolution MS) and chromatographic methods is highly valued
Knowledge of nitrosamine determination is a significant asset
Fast learner with a proactive, self-steering mindset
Strong organizational skills and the ability to handle multiple projects simultaneously
Fluent in English (both written and spoken)
Familiarity with GMP regulations and regulatory frameworks (ICH, EMA, FDA) is preferred

Job Responsibility

Develop cutting-edge analytical methods for nitrosamine quantification, ranging from complex sample preparation to advanced chromatographic separations
Lead relationships with contract laboratories, overseeing the lifecycle of external projects and ensuring sample requirements and timelines are met
Review protocols and reports from both internal and external labs to maintain compliance with GMP and regulatory standards
Represent the team in global project meetings, translating complex project needs into clear deliverables for the analytical project leader
Lead analytical investigations and deviations to solve challenging problems within the product portfolio

Fulltime

New

Data Scientist, Finance

Under limited supervision, the Data Scientist works closely with business stakeh...

Location

United States , Birmingham

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Operations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination
Basic knowledge of software development principles and architecture
Excellent verbal and written communication skills
Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods
Must be a team player with excellent analytical and problem solving skills

Job Responsibility

Analyzes large amounts of information to discover trends and patterns
Designs machine learning models for predictive analytics
Presents information using data visualization techniques
Undertakes preprocessing of structured and unstructured data
Identifies valuable data sources and automates collection processes
Performs other duties as assigned

What we offer

options for healthcare coverage
401(k)
tuition reimbursement
vacation
sick
holiday pay

Fulltime

New

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 12+ years of progressive experience in AI/Data Science
At least 8 to 10 years of hands-on experience in building AI/ML models for Financial domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Experience in enterprise grade implementation of cutting edge Agentic AI solution
Taking ownership spans the entire AI delivery lifecycle for project, encompassing the orchestration of multi-agent workflows, Retrieval-Augmented Generation (RAG) architectures, and high-performance LLM integration pipelines
Taking responsibility for AI tech stack selection, governance, and the mitigation of stochastic drift or model hallucinations
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs) at enterprise level

Job Responsibility

Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management
Build automated business process optimization model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modelling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity
State-of-the-art workspace in Gurgaon with modern amenities
Flexible work arrangements including hybrid work options – 3 days in office arrangement
Contribute to BAXTER's mission of saving and sustaining lives worldwide
Work on meaningful projects that directly improve healthcare outcomes
Be part of a Fortune 500 company with global presence and stability

Fulltime

New

Scientist II, Developability

BigHat Biosciences is looking for a hands-on, bench-driven scientist to drive an...

Location

United States , San Mateo

Salary:

145000.00 - 165000.00 USD / Year

BigHat Biosciences

Expiration Date

Until further notice

Requirements

PhD in Biochemistry or relevant discipline with 3+ year(s) of industry experience
exceptional non-PhD candidates with deep bench experience will be considered
Strong background in biophysical and analytical characterization of antibodies and antibody fragments: SEC, HIC, CE-SDS, DLS, DSF, ELISA, LC-MS, including method development and optimization
Track record of translating complex data into clear results and recommended actions
Experience with protein structures and antibody engineering
Enthusiastic about learning and onboarding new technologies to expand capabilities and improve work quality, timelines, throughput or cost

Job Responsibility

Lead developability R&D projects: design, optimize, and execute high throughput developability assays to expand BigHat's toolkit
Drive developability assessments (purity, stability, tolerability, biophysical properties) across programs, with strong attention to data interpretation and organization
Support late-stage characterization and IND-enabling studies, including formulation screening, stress testing, peptide mapping, and simulated administration studies, to rank and advance lead candidates
Serve as the Developability lead within project teams, guiding experimental strategy to address liabilities and hit program milestones
Work cross-functionally to automate and train colleagues on new and existing methods, build QC frameworks for monitoring assay performance, and adapt workflows to existing LIMS infrastructure
Proactively and independently analyze data, interpret scientific findings, propose next steps, and broadcast findings clearly across the organization

What we offer

Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
Dental, and vision coverage through Guardian
Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
401(k) with company match
DTO, two weeks of company-wide shutdown, and 12 company holidays
Paid parental leave

Fulltime

New

Data Science Manager

As a Data Science Manager within the Customer Development XOPS team in Data Foun...

Location

United States , Hoboken

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
Time series forecasting
Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale
exposure to agent-based AI systems is a strong advantage
Advanced proficiency in Python, Spark, and modern analytics stacks
hands-on experience with Databricks and Azure
Strong people leader with experience coaching and developing talent in multidisciplinary teams

Job Responsibility

Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy

What we offer

Health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

New

Data Scientist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!

Location

Japan , 東京23区

Salary:

7000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

February 29, 2028

Requirements

MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes
Able to communicate efficiently in both Japanese and English with technical and business stakeholders
Proficiency in quantitative methods and business analytics, with strong problem-solving skills
Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
Competent in programming with tools like Python and SQL
Strong understanding of data visualization tools, especially PowerBI
Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions
Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML
Background in financial or insurance domain, particularly in operations and marketing

Job Responsibility

WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

New

Data Scientist

Freewheel is currently looking to recruit a Data Scientist to join our Audience ...

Location

United States , New York

Salary:

100254.59 - 150381.88 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Machine Learning (ML)
Data Visualization
Applied Machine Learning
Structured Query Language (SQL)
Data Science
Analytical Thinking
Python (Programming Language)
Bachelor's Degree
0-2 Years of relevant work experience

Job Responsibility

Collaborating with cross-functional teams to define data analysis problems and design experiments
Engineering software solutions and algorithms for data cleansing, integration, and analysis
Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
Implementing statistical and mathematical models to address complex business challenges
Constructing data mining frameworks and conducting trend analysis for strategic decision-making
Analyzing complex datasets to identify historical patterns in customer and product behaviors
Building predictive models to forecast customer actions and guide business planning
Synthesizing findings from data science research to inform and optimize business processes
Presenting data-driven insights and recommendations through clear, comprehensive deliverables
Consistent exercise of independent judgment and discretion in matters of significance

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Bonus

Fulltime

New

Staff Mechanical Engineer, Vacuum Systems

The Staff Mechanical Engineer, Vacuum Systems will work closely with Realta’s en...

Location

United States of America , Madison

Salary:

Not provided

Realta Fusion Inc.

Expiration Date

Until further notice

Requirements

BS in Mechanical Engineering, Materials Science, Aerospace Engineering, or a related field, plus 8+ years’ work experience
Extensive experience and expertise in 3D CAD design with current CAD software tools (SolidWorks, NX, Creo, etc.) and familiar with PDM
Demonstrated understanding of pressure vessel design, structural analysis, heat transfer, and thermal analysis, and the ability to leverage FEA tools such as ANSYS or COMSOL to solve engineering problems
Deep expertise of vacuum pump technologies (ion, turbomolecular, scroll, diffusion, cryogenically cooled panels, getters, etc…) and sealing and bakeout techniques for large vacuum chambers
Highly proficient in vacuum conductance and pump down modelling and optimization using tools such as MolFlow, VacTran, hand calculations, or other
Substantial technical experience with advanced knowledge and judgement in most of the following areas: Design, commissioning, and operation of ultra-high vacuum systems and parts compatible with vacuum environments
Welding, machining, and mechanical assembly processes and techniques
Project management abilities defined as the ability to control scope, cost, and schedule
Metrology, inspection, quality control, and test methods related to manufacturing using CMMs, laser trackers, FARO arms, or other test equipment
Demonstrated ability to supervise and safely direct activities of small teams of technical personnel

Job Responsibility

Collaborate with both physicists and scientists, as well as engineers and technical support staff, to develop technologies for novel vacuum systems requiring innovative designs and critical high-level analysis
Design and model complex ultra-high vacuum (UHV) pumping technologies, diagnostics, in-situ high temperature bakeout, sealing strategies, and vacuum vessels
Establish UHV best practices, design vacuum cleaning and handling laboratories, and mentor staff in UHV principles, contamination control, and leak detection
Design, build, and operate UHV test stands to validate both established and emerging vacuum technologies against stringent performance requirements
Research, select, and occasionally test UHV-compatible materials (e.g., low-outgassing metals, specific elastomers/metals for seals), specify cleaning protocols, and define bakeout and pump down sequences
Lead efforts involving general mechanical-system design, mechanical stress analysis, thermal analysis, and fatigue analysis
Interface with facilities and assist in the specification, design, and construction of a greenfield cryoplant and associated gas delivery systems
Conduct formal design reviews, generate technical documentation, and respond to questions concerning engineering design and operation
Work with vendors and internal resources to fabricate, assemble, test, and validate components and systems
Communication: Synthesize and present technical work internally and externally, communicate daily with project teams and leadership to support programmatic needs

What we offer

Competitive compensation package, including equity stock options
Comprehensive benefits including health, dental, and vision insurance, plus a retirement savings plan
Flexible paid time off (PTO) to support work-life balance
Work and live in Madison, Wisconsin — one of America’s most livable and vibrant cities

Fulltime

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Advanced Methods Scientist

Job Description

Job Responsibility

Requirements

What we offer

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