Principal Research Scientist Job at Wikimedia Foundation

Senior Principal Scientist – Target Discovery & Biology

Amgen’s Target Discovery & Biology (TD&B) organization integrates functional gen...

Location

United States , Thousand Oaks

Salary:

171106.00 - 209556.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 3 years of directly related experience
Master’s degree and 6 years of directly related experience
Bachelor’s degree and 8 years of directly related experience
Doctorate degree in cell biology, molecular biology, biomedical engineering, or related discipline
6+ years of relevant experience in biotech or pharma, including leadership of scientific teams
Strong track record in complex in vitro model development, cell engineering, and high-throughput or automated screening
Experience with high-content imaging and transcriptional assay readouts
Demonstrated ability to collaborate with cross-functional teams to translate disease biology into experimental models
Experience with viral vector systems (AAV, lentivirus, or related technologies) for gene delivery and perturbation
Experience in leading or mentoring scientists, with proven success in project execution and team development

Job Responsibility

Provide scientific and operational leadership for a team of scientists delivering advanced in vitro models and screening-ready systems in collaboration with therapeutic area partners
Guide the design, optimization, and screen implementation of cellular models that capture disease-relevant biology, integrating insights from disease tissue profiling data
Champion partnerships with automation colleagues accelerate model deployment and reproducibility
Collaborate with Amgen therapeutic area scientists to define requirements, ensure biological relevance, and deliver systems that enable mechanistic and translational insights
Identify and implement emerging technologies in cell engineering, automation, and complex model systems to enhance the sophistication and throughput of discovery platforms
Foster a collaborative, creative, and scientifically rigorous team culture committed to delivering impact across Amgen’s pipeline

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 where possible

Fulltime

Principal Lead UX Researcher

This role involves driving research for investments across Atlassian's broader S...

Location

United States , Seattle

Salary:

169600.00 - 272500.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in research, including leading research strategy in complex and/or enterprise-level software environments
expertise in applying quantitative and qualitative research methods to business problems, impacting both product direction and detailed experience design
proficiency in hands-on research, with demonstrated skill in collecting and analyzing human behavioral data to improve product plans and UX in a technology industry setting
compelling storytelling skills with a range of strategies to drive engagement with and actionability of research-driven insights and analyses
proven expertise influencing business and product strategy, driving change across organizational boundaries
deep expertise building trusted advisor relationships with senior business leaders.

Job Responsibility

Collaborate with designers, data scientists, product managers, and engineers to create innovative solutions
identify, define, prioritize, and execute the critical research needs
deliver measurable impact to the business
partner with product managers, designers, data science, engineers, and other cross-functional teams to define the research roadmap, execute the strategy, and deliver critical insights
be product opinionated, leveraging deep user, market, and competitor understanding to influence product strategy and user experience design
connect UX insights with established brand and market research insights
provide thought leadership in UX and related research practices.

What we offer

health coverage
paid volunteer days
wellness resources
equity
bonuses
commissions

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

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Principal Data Scientist

We are seeking a Principal Data Scientist with deep expertise in forecasting and...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
10+ years of experience delivering impactful data science solutions in production environments
Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers)
Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan)
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques
Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties
Build uncertainty quantification frameworks to increase trust and robustness in forecasts
Guide model architecture choices—balancing complexity, interpretability, and operational feasibility
Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker)
Translate model outputs into actionable insights in partnership with product and business stakeholders
Define and execute model performance measurement strategies, including causal inference and uplift modeling
Present findings, experimental results, and strategic recommendations to senior leadership

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...

Location

United States , Bellevue; Overland Park

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
4-7 years of Experience in data visualization
2-4 years Management consulting, investment banking, or corporate strategy

Job Responsibility

Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
Provide senior level guidance to the data science and measurement science teams on approach and methodologies
Communicate important information and insights to business leaders using verbal, written, and data visualization skills

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
paid time off
up to 12 paid holidays

Fulltime

Principal Data Scientist

Principal Data Scientist role in Data & AI organization building next-generation...

Location

United States , Jersey City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required)
10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact
Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch
Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development
Proven experience deploying models in cloud-based or distributed environments

Job Responsibility

Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources
Lead the design and optimization of scalable data pipelines to support production-grade ML systems
Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions
Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness
Produce clear documentation and communicate insights effectively to both technical and non-technical audiences
Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies
Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Principal Research Scientist

Wikimedia Foundation

Location:
United States

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

Expiration:
March 08, 2026

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