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Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: Educational Background • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline., • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. Technical & Analytical Skills • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)., • Strong applied statistics skills for:, • Risk modeling, • Predictive analytics, • Pricing & underwriting analytics, • Catastrophe exposure analysis, • Proficiency in statistical and machine learning techniques, including:, • Regression (GLM, GAM, GAMMs), • Time-series forecasting, • Gradient boosting, random forests, and other tree-based models, neural networks models, • Clustering and segmentation, • Bayesian methods, • Hands-on experience with key programming tools:, • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), • R (actuarial/statistical packages), • SQL for data extraction and manipulation, • Familiarity with Git and Docker is a plus, • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. Preferred Domain Knowledge in Risk Modeling • Strong understanding of property & casualty insurance, including:, • Exposure modeling, • Loss distributions (e.g., Pareto, lognormal, gamma), • Catastrophe risk concepts and tail modeling, • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR) Data Skills • Ability to work with large structured and unstructured datasets., • Expertise in data cleaning, transformation, and feature engineering., • Experience building automated data pipelines and scalable model workflows. Modeling & Communication • Ability to translate complex statistical concepts into actionable business insights., • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders., • Strong documentation and model governance discipline. Professional Competencies • Curious, analytical thinker with strong problem-solving ability., • Ability to work independently in ambiguous problem spaces., • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Contribute subject matter expertise to a cutting-edge project with state-of-the-art large language models., • Create high-quality data by developing difficult problems in your domain., • Evaluate and improve AI model performance through rigorous testing and feedback., • Collaborate with AI research teams to enhance training data quality., • Work independently and asynchronously to meet project deadlines. Qualifications Must-Have • PhD or advanced degree (or equivalent industry experience) in Medicine, Healthcare, Statistics, Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Interview Process • Complete a short interview and task (20–30 mins). Paid onboarding time includes this and a few onboarding videos if hired. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job DescriptionBiology Research Scientist Job Type: Contractor Location: Remote Hours: 10–20 hours/week Duration: 1–2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records. You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning. Key Responsibilities • Review primary research papers and patents to verify protein target assignments., • Compare target assignments against UniProt and identify discrepancies., • Classify target assignment errors using a structured taxonomy., • Propose accurate UniProt accessions where assignments are incorrect., • Document clear, concise, evidence-grounded reasoning for each determination., • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.Required Skills, • Protein Target Identification, • UniProt, • Primary Literature Review, • Protein Biochemistry, • Molecular Biology, • Pharmacology, • Binding & Functional Assays, • Scientific Data Interpretation, • Evidence-Based Reasoning, • Technical DocumentationQualifications, • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience., • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments., • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays., • Experience interpreting IC50, Ki, and Kd data., • Currently active in a bench-based research, scientist, or associate scientist role., • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.Nice to Have, • Experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.Screening Questions, • What is your highest relevant degree and how many years of industry research experience do you have?, • What is your experience with protein target identification and UniProt?, • Which binding or functional assays have you performed hands-on?, • Do you have experience interpreting IC50, Ki, or Kd data?, • Have you worked with ChEMBL, BindingDB, or PubChem?, • Are you currently bench-active in a research or scientist role?, • Are you available for 10–20 hours per week with an immediate start?

Job DescriptionStaff Scientist – Environmental Assessments Annual Salary Range: $70,000–$95,000 BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental Assessments. In this role, you will be instrumental in managing projects that involve both environmental and physical property condition assessments across the United States. This is a fantastic opportunity to grow within the commercial real estate due diligence industry. We are seeking candidates who have the ability to perform one or more of the following types: • ESA, • PCA, • ESA/PCA Dual, • FMAC ESA / FMAC PCA / FMAC Dual, • FNMA SBL ESA / FNMA SBL PCA / FNMA SBL Dual, • RADON, • EQUITY PCA, • ASM Sampling, • MEP/HVAC, • LBP Assessment, • Construction, • Phase II, • Seismic Risk Responsibilities • Conduct and prepare Environmental Site Assessments (ESA, PCA, or other reports for which you are qualified as listed above)., • Provide clear, well-supported recommendations and solutions to Managing Directors and clients while understanding how assessments impact transactions., • Oversee quality control throughout project lifecycles., • Conduct site visits and lead fieldwork activities., • Write Report., • Perform research (historical, regulatory, etc.) and compile supporting data., • Communicate with clients and site representatives., • Prepare professional supporting documentation (figures, appendices, etc.)., • Other tasks as assigned by the Managing Director related to report deliverables and schedules. Requirements • Minimum of 3-5 years of experience in conducting assessment work in either ESA / PCA's., • Strong understanding of the ASTM protocols and relevant regulatory requirements., • Excellent written and verbal communication skills., • Strong analytical thinking and problem-solving abilities., • Ability to manage multiple projects and meet strict deadlines., • Familiarity with industry standard report writing software's i.e. Quire / Parcel., • Professional certifications in any of the disciplines is a plus., • Ability to travel 90% of the time. Benefits • 95% coverage of health benefits including Medical and Dental with optional family and/or dependent enrollment paid by employee at a group rate, • 50% company contribution towards Vision coverage, • Tuition reimbursement (up to $5,250 per year), • 401(k) matching program: company match 100% of your deferrals up to 3% of your compensation, plus 50% of your deferrals over 3% not exceeding 5% of your compensation, • 100% employer paid Short-Term Disability with employee buy up options, • 100% employer paid Life Insurance Coverage with employee buy up options, • Paid parental leave, • Holiday pay, • Sick pay, • Paid vacations, • Possible year-end bonuses based on performance and tenure, • Company computer, • Relocation and Sign on Bonuses may apply

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionData Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You'll apply expertise in machine learning, statistics, experimentation, and data analysis to evaluate and improve AI model performance. Key Responsibilities • Evaluate AI outputs across data science, statistics, ML, and quantitative problems., • Create expert-level prompts, datasets, and reference solutions., • Identify statistical errors, flawed methodologies, and weak reasoning., • Provide structured feedback to improve AI model capabilities.Required Skills, • Python & Pandas, • Machine Learning, • Statistics, • Data Analysis, • Experimentation, • Data ModelingPreferred Qualifications, • 1+ year of experience in technology, finance, research, or a similar environment., • Relevant experience within the past 7 years., • Undergraduate degree from a top-ranked university., • Strong written communication and ability to explain technical concepts clearly., • Based in an English-speaking country.

Job Description Operations Research Scientist Environment: Hybrid-each Week-2 days onsite Location: Atlanta, GA 30308 Client Corporation is seeking an innovative and highly analytical Operations Research Scientist to develop advanced optimization, machine learning, and decision-support solutions that improve network performance, increase operational efficiency, enhance service reliability, and reduce costs. This role leverages cutting-edge operations research methodologies, reinforcement learning, artificial intelligence, and mathematical optimization to solve complex transportation and logistics challenges. The successful candidate will work closely with business stakeholders, software engineers, and operational leaders to transform data into actionable insights and scalable decision-support systems. Education • Master's or Ph.D. degree in:, • Operations Research, • Industrial Engineering, • Applied Mathematics, • Statistics, • Computer Science, • Information Systems, • Data Science, • Other related quantitative disciplines Experience Required: • 3-5 years of experience developing and deploying decision-support systems using operations research methodologies., • 3-5 years of experience supporting network recovery, disruption management, and operational resiliency initiatives., • 3-5 years of experience designing and implementing optimization models for large-scale operational planning and real-time decision-making applications., • 3-5 years of experience applying reinforcement learning, machine learning, and network optimization techniques to support adaptive and autonomous decision-making., • Experience developing nonlinear optimization and AI-enhanced optimization models that improve solution quality, robustness, scalability, and explainability., • 3-5 years of experience following software development best practices, including design, testing, deployment, and maintenance of production applications. Preferred (Nice to have), • Knowledge of railroad operations, transportation planning, and network design principles., • Experience with train scheduling, routing, blocking, crew planning, or asset utilization optimization., • Experience measuring, analyzing, and improving transportation service performance., • Experience developing real-time analytics and decision-support systems for large-scale logistics or transportation networks. Technical Skills, • Strong expertise in mathematical optimization techniques, including Linear Programming (LP), Mixed Integer Programming (MIP), and Nonlinear Optimization (NLP), • Experience with commercial or open-source optimization solvers such as Gurobi or CPLEX, • Experience with machine learning, predictive analytics, neural networks, deep learning, or discrete-event simulation., • Proficiency in Python and experience with one or more additional programming languages such as Java or C ., • Experience with model deployment and production integration., • Strong SQL skills and experience working with large-scale relational databases., • Experience with data quality assessment, feature engineering, and model validation. Key Responsibilities, • Develop real-time, tactical, and strategic network disruption management and recovery models to support railroad operations and service resiliency., • Provide production support, maintenance, and continuous enhancements for existing operations research applications., • Design, develop, and implement advanced mathematical optimization, simulation, and machine learning models using Python, Java or C ., • Evaluate the accuracy, completeness, and quality of data sources, and develop effective solutions to address data quality issues and gaps., • Collaborate with business partners across multiple departments to identify opportunities for operational improvements and process optimization., • Work closely with application development teams to integrate analytical models and decision-support tools into production environments., • Provide technical leadership and supervise team members to achieve organizational goals by fostering collaboration, open communication, professional development, and adaptability., • Communicate analytical findings, model recommendations, and business impacts to stakeholders and senior leadership to support data-driven decision-making., • Lead initiatives focused on improving network resilience, service reliability, and operational recovery during planned and unplanned disruptions.

Job Description Position Title Operations Research Scientist Location Atlanta, GA, 30308 Duration 6 months Primary Skills SQL, Machine Learning, Python, Operations Research, Mathematical Optimization, Optimization Modeling, Decision Support Systems, Reinforcement Learning, Network Optimization, Disruption Management, Network Recovery, Operational Resiliency, Linear Programming (LP), Mixed Integer Programming (MIP), Nonlinear Optimization (NLP), Gurobi, CPLE Operations Research Scientist Experience applying reinforcement learning, machine learning, network optimization, and AI-enhanced optimization techniques. Experience developing and supporting production software using established software development practices. Strong knowledge of mathematical optimization, including: o Linear Programming (LP) o Mixed Integer Programming (MIP) o Nonlinear Optimization (NLP) Experience with optimization solvers such as Gurobi or CPLEX. Strong Python skills; experience with Java or C . Strong SQL and relational database experience. Experience with model deployment, production integration, data quality, feature engineering, and model validation. Preferred Qualifications Knowledge of railroad operations, transportation planning, or network design. Experience with train scheduling, routing, blocking, crew planning, or asset utilization optimization. Experience measuring and improving transportation service performance. Experience developing real-time analytics or decision-support systems for large- scale transportation or logistics networks. Experience with predictive analytics, neural networks, deep learning, or discrete- event simulation. Education Master's or Ph.D. in: Operations Research Industrial Engineering Applied Mathematics Statistics Computer Science Information Systems Data Science Other related quantitative discipline

About the Company We are an international academic and technology exchange platform dedicated to fostering global research and innovation. Working with world-leading universities, institutes, and listed companies, we host international programs, conferences, and academic events to attract top scholars worldwide. Our mission is to build competitive research teams and accelerate cross-border knowledge, technology, and talent exchange, driving scientific advancement across disciplines. About the Role You have the autonomy to select your laboratory and hold absolute authority over it. Opportunity to establish your own research group and grow into a Young PI. Full support for international collaborations, academic conferences, and project partnerships. Responsibilities • You have the autonomy to select your laboratory and hold absolute authority over it., • Opportunity to establish your own research group and grow into a Young PI., • Full support for international collaborations, academic conferences, and project partnerships. Qualifications • PhD degree from a globally recognized university or leading research institute, • Strong academic background with proven independent research capability, • Demonstrated record of high-quality publications or project leadership, • Willingness to collaborate with Chinese academic or industrial partners, • Open to outstanding applicants of all nationalities Required Skills • STEM or related applied disciplines, • International research, industry, or innovation experience, • Expertise aligned with strategic areas such as:, • New energy and green technologies, • Advanced materials and manufacturing, • Biomedicine and life sciences, • Artificial intelligence, data science, digital technologies, • Semiconductor and high-end equipment, • Open to all nationalities, • No geographic relocation requirement Preferred Skills • Strong academic background with proven independent research capability, • Demonstrated record of high-quality publications or project leadership, • Willingness to collaborate with Chinese academic or industrial partners Pay range and compensation package • Annual Salary: USD 200,000 – 300,000+ (negotiable based on qualifications), • Research Startup Funding: up to USD 400,000, • Housing & Settlement Support: up to USD 400,000 (talent housing, rental subsidies, or property purchase assistance), • Additional Support:, • Comprehensive “one-stop” onboarding and long-term service support, • Career Development Opportunities, • Clear promotion path: Scientist → Senior Scientist Equal Opportunity Statement Open to outstanding applicants of all nationalities. We are committed to fostering an inclusive environment that values diversity and supports equal opportunity for all individuals regardless of nationality or background.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Our core values define who we are as an organization and serve as the foundation of our code of ethics.Arbor Research expects all employees to embody and demonstrate in our day-to-day work.We expect each staff member to learn from and teach one another and ask each to exhibit curiosity and respect

With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Investigate failure modes such as laterality errors, poor image or report grounding,

Airbnb is committed to working with the broadest talent pool possible. Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, s

These specific research scientist roles focus on helping researchers effectively use Nexus, a new National Science Foundation (NSF)-funded compute resource hosted at GT, built in partnership between PACE, The Center for Artificial Intelligence in Science and Engineering (ARTISAN), and the National C

Play a lead role in regular internal project meetings and data reviews. Experience with qPCR, next-generation sequencing (NGS) library preparation, NGS data analysis is plus. We are currently seeking exceptional individuals to join our research group as a Research Scientist.

Experience with data management, databases (SQL/NoSQL), and distributed systems; comfort designing and operating internal services and APIs. This position will also serve as a consulting role, collaborating with domain scientists to develop scientific/AI workflows on the PACE system. Maintain the us

The successful candidate will advance the CCSP collision cross section prediction platform, with a focus on developing, validating, and extending machine learning models that predict ion mobility collision cross section values directly from molecular structure. Develop, train, and validate machine l

The School of Electrical and Computer Engineering is seeking to hire Research Scientist. Responsible for directing others; plans, organizes, and supervises the work of laboratory scientists, engineers, and technicians.

This position vacancy is a Research Scientist I and Research Scientist II rank announcement. This will be a remote eligible position that can work on campus or remote (in or out of state). Please indicate in your cover letter if you would like to be considered for a Research Scientist I or Research

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunic

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunic

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Contractor (Part-Time, approximately 15 hours/week).This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization.The role is highly coding-intensive, with a focus on Pyth

Data Scientist (Live Anywhere).Looking for your next challenging opportunity? Then this role is for you!.We are targeting a resource with a background in Operations Research and Mathematical Optimization Modeling with a Retail or Supply Chain domain.Perform Exploratory Data Analysis (EDA).Develop mo

Biomedical Science, Physics, AI & Computer Science, Chemistry, Materials Science, Imaging Technology, New Energy Batteries, Autonomous Driving, Industrial Software, Drones, Industrial Automation, Rail Transit, Geographic Information Surveying and Mechanical Manufacturing.

Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies.

We're Hiring: Senior Research Scientist | LLMs, Conversational AI & Applied Machine Learning.An exceptionally well-funded, high-growth AI unicorn is looking for a Senior Research Scientist to join its research team and help shape the next generation of intelligent AI systems.Backed by some of the wo

Contractor (Part-Time, approximately 15 hours/week).This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization.The role is highly coding-intensive, with a focus on Pyth

Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.

Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager.What You’ll Do (90% of your time).Sourcing (high-volume, targeted).Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters).Run 120+ tailored outreaches/

Pareto Frontier is looking for a unique individual passionate about turning the most innovative ideas and concepts into reality. The Senior or Principal Senior Communications Signal Processing and Exploitation Scientist will be involved in the conception, development, implementation and verification of advanced signal processing-oriented solutions across multiple technology areas. Proficiency with advanced algorithm research & development, real-time signal processing, and MATLAB-based modeling and simulation are required. The ideal candidate will be highly self-motivated, ambitious and comfortable assuming many roles within an intense, fast-paced start-up environment. Required Skills: • Proven ability to innovate and apply novel solutions to challenging problems within the RF Signal Processing / Wireless Communications field., • Signal Processing expertise (PhD or 10 years min experience): Deep understanding of DSP fundamentals such as: Time/Frequency domain representations and analysis, Digital filtering/resampling techniques, fixed point processing, and computational complexity analysis. Background in Statistical Signal Processing (Detection and Estimation Theory) is highly desired., • Experience working as the systems-architect responsible for transitioning algorithms to FPGA/Software Engineering team for hardware implementation., • Experience working in an electronics lab environment: knowledge and ability to use RF test equipment (such as oscilloscope, spectrum analyzer, and vector signal analyzer) Successful Candidate Will Have the Following Traits: • Ability to independently conceive new ideas and solutions, with demonstrable performance results according to standardized figures of merit, to complex technical problems, • Take ownership of assigned tasks and driving them to completion under tight schedule constraints, • Ability to do research on your own and/or through collaboration, • Strong ability to communicate with customers and team members, • Motivation to go above and beyond assigned duties Desired Skills: • Extensive Background in RF/Wireless Communications-oriented Signal Processing, • MS/PhD is preferred but Bachelor's with 10 years minimum experience will be considered based on the individual. Export Control Requirement: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. • Must meet eligibility criteria to obtain and maintain a Secret-level clearance (post-hire), typically only awarded to U.S. citizens., • All candidates must also successfully pass a Commercial Background Investigation (CBI). Working Location & additional info: Location: Tampa Bay area (Palm Harbor, FL), with hybrid and full remote arrangements available Travel: 10% expected Employment Status: Full-time employee, full benefits available Equal Opportunity Employment: Pareto Frontier, LLC is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. About Pareto Frontier Pareto Frontier, LLC is a startup technology solutions firm developing bleeding-edge capabilities for Tactical Wireless Communications and other areas in the Defense & Aerospace Industries.

At Nebo, we believe in bringing a human-centered approach to search engine optimization. We're looking for smart and talented SEO Specialists who are part Macgyver, part data scientist, part creative thinker, and love all things search. If you track search algorithm updates like a ranger and are obsessed with search intent, then the SEO team at Nebo might be your new home. We're looking for someone to contribute to our search engine optimization team through the creation of a variety of deliverables including keyword strategies, complete website audits, and creative marketing campaigns. The right person has a thorough understanding of technical SEO plus a larger understanding of interactive marketing strategy and maybe loves dogs. Being an SEO Specialist at Nebo Nebo is a human-centered agency built on a culture of respect, professional growth and care for every employee. With numerous perks, including hybrid in-office/remote work options designed to fit your needs, unlimited PTO, and free attendance to local marketing events, join this fun-loving team that occasionally talks Slack Smack. Duties • Create highly refined keyword strategies that lay the foundation for the rest of a client's SEO project, • Undertake meticulous research to understand the compatibility of brand and keyword strategy, • Have an understanding of on-page optimization best practices, • Perform thorough, detailed website analysis, identifying current problems and opportunities, with a focus on on crawlability, site architecture and site content, • Perform competitive research, identifying what the client's competitors are doing right, what they're doing wrong, and how these tactics influence the client, • Conduct research for off-page SEO campaigns that drive awareness and indicate relevance to the search engines, • Stay up to date on current industry practices, news, and algorithm updates Skills & Experience • 1+ years of SEO experience, • Working knowledge of HTML, CSS, and structured data markup, • The ability to write coherent, compelling copy that is not only keyword-rich, but also user-friendly, • Experience with SEO tools including, but not limited to, Google Search Console, Screaming Frog, and AHREFs, • Experience with Google Analytics, Google Ads, a variety of content management systems, and other industry-specific tools, • Bachelor's Degree in area of practice or related field Nebo's Commitment to Diversity & Inclusion As a human-centered agency, we believe in uplifting our community and advancing society through inclusive business practices. We're dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.

AI-generated scientific research or technical outputs. Begin designing and evaluating drug discovery research tasks. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks.

Structure-based medicinal chemistry. Strong analytical and critical-thinking skills.

We are hiring experienced clinical and research scientists, including clinical laboratory scientists, translational researchers, assay development scientists, postdoctoral researchers, and advanced doctoral candidates, for a contract project that tests whether frontier AI agents can carry out real w

Company Description Noetive is a research lab building recursive self-improvement to develop intelligence for the physical economy. Role Description At Noetive, you'll push the frontier of what foundation models can do across language, vision, and world model development, designing and running experiments on pre and post-training, reasoning, agentic behavior, and evaluation, then translating those findings into capabilities that ship in real products. You'll work with a small, principal-level team that moves fast from hypothesis to result, own the full arc from literature review through ablations to writeup, and hold a high bar for rigor even under startup timelines. We're looking for a PhD or equivalent research track record, deep fluency in modern deep learning (PyTorch, distributed training, LLM fine-tuning and RL), a strong publication or open-source footprint, and the instinct to pick problems that matter rather than problems that are merely publishable.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

Company Overview Check out this video and find out why our team loves to work here! (https://www.cdmsmith.com/resources/videos/meet-cdm-smith) Join Us! CDM Smith - where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description We are currently seeking an Environmental Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance our firm's capabilities in environmental services. This position involves working across multiple technical practice areas at the firm, working with CDM Smith's digital teams, and also involves supporting marketing and business development initiatives related to environmental data analytics. This discipline leader will collaborate with other discipline leaders, subject matter experts (SMEs), the company's digital teams, and the larger environmental data analytics group within the firm to gather ideas and assess needs for the environmental data analytics discipline area. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, technicians, and digital experts at the company to provide a variety of environmental services for clients. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives for potential innovation investment at the firm, aimed at developing analytics tools and technologies. The Data Analytics Discipline Leader also helps with managing intellectual property (IP) and research and development (R&D) investments by reviewing current environmental data analytics-related ideas, identifying IP to consider for protection, and prioritizing potential R&D investments. They work to grow a team of environmental data analytics practitioners who have the desire or aptitude to pursue environmental analysis for a variety of client projects at the firm. The leader establishes relationships and processes for providing our environmental data analytics services to the market and ensures that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector. As a member of this team, you would contribute to CDM Smith's mission by: + Assisting CDM Smith's Digital teams in conducting evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems). + Work with the firm's sales teams and with CDM Smith's digital subsidiary, Trinnex (as applicable), on technical sales, design, and delivery of environmental data analytics solutions tailored for environmental analysis-related needs. + Collaborate with local, national, and international technical teams. + Work across multiple technical practice areas to leverage environmental data analytics research and the firm's development activities, thereby expanding and enhancing the firm's capabilities in environmental services. + Support marketing and business development initiatives related to environmental data analytics. + Collaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for environmental data analytics innovation and more. + Coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to deliver effective environmental solutions to CDM Smith's clients. + Establish processes: Develop processes to evaluate ideas and initiatives for potential innovation investment at the firm aimed at developing analytics tools and technologies. + Manage potential intellectual property (IP) and research and development (R&D) investments: Review current environmental data analytics ideas, identify potential IP for protection, prioritize potential R&D investments, and assist with connecting these to the firm's processes and groups overseeing IP protection, innovation, and digital investment. + Work with and grow environmental data analytics practitioners who have the desire or aptitude to provide environmental services for a variety of clients at the firm. + Navigate the competitive landscape and help keep CDM Smith at the forefront of the environmental data analytics market in the environmental sector. + Market engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients. + Track business opportunities and clients: Identify and monitor business opportunities and client relationships for environmental data analytics services. Skills & Abilities Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials. Qualifications Bachelor's degree. 12 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree. Preferred Qualifications + Environmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics. + Statistical Analysis Proficiency: Proficient in the mathematical principals of data analytics and the interpretation of environmental data. Familiarity with Python or R a plus. + IP Management: Experience in managing intellectual property. + Educational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff. + Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. + 10 years of related experience. Amount of Travel Required 10% or less Driving Requirements An appropriate and valid driver's license is required. EEO Statement We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith Inc. and its divisions and subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, physical or mental disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law. Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Additional Pay Range Information CDM Smith is committed to fair and equitable compensation practices. This pay range is a good faith estimate representative of all experience levels for the geographic location assigned to the position. In addition to geographic location, a candidate's salary is determined by several other factors including, but not limited to, the role, function and associated responsibilities, relevant work experience, skills, required certifications, and education/training. Additional Compensation All bonuses at CDM Smith are discretionary and may or may not apply to this position. Visa Sponsorship Available No-We will not support sponsorship in the United States, i.e. H-1B or TN Visas for this position Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Talent Acquisition Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith Inc. and its divisions and subsidiaries staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith Inc. and its divisions and subsidiaries and any resume submitted to any employee outside of CDM Smith Talent Acquisition Team will be considered property of CDM Smith. CDM Smith Inc. and its divisions and subsidiaries will not be held liable to pay a placement fee. Pay Range Max USD $211,723.00 Pay Range Min USD $120,973.00

IQVIA is seeking experienced Medical Science Liaisons (MSLs) to support a late-stage clinical development program in Acute Myeloid Leukemia (AML). This role provides the opportunity to engage with investigators, hematologists, oncologists, and other healthcare professionals at the forefront of AML research and patient care. The MSL serves as a field-based scientific resource responsible for facilitating scientific exchange, communicating clinical and translational data, and gathering insights related to disease biology, treatment approaches, measurable residual disease (MRD), relapse risk, and evolving standards of care. The role is intended to strengthen the organization's understanding of the scientific and clinical landscape while supporting Medical Affairs and clinical development objectives through meaningful engagement with the oncology community. Minimum Requirements: • Advanced clinical or scientific degree required; PharmD, MD, DO, PhD, DNP, NP, PA or equivalent strongly preferred from an accredited institution., • Minimum of 4 years of Medical Science Liaison (MSL) experience or relevant clinical experience (including being a clinical development scientist in pharma/biotech) within hematology and/or oncology., • Minimum 3 years of experience in hematology/oncology required, with demonstrated therapeutic area expertise., • Demonstrated track record of success in medical affairs, clinical development, clinical practice, scientific engagement, or related healthcare roles., • Strong understanding of healthcare stakeholder segments, treatment landscapes, and market dynamics within oncology., • Proven ability to communicate complex scientific and clinical information effectively to diverse audiences, including healthcare professionals, researchers, and key opinion leaders., • Proficiency with business and communication technologies, including CRM platforms, Microsoft Office Suite, Microsoft Teams, and other digital engagement tools., • Ability to work independently while collaborating effectively within cross-functional teams., • Position may require compliance with client-specific site access requirements, including applicable vaccination or health screening protocols., • Familiarity with the planning and execution of clinical trials in oncology and the processes underlying independent investigator-initiated clinical and/or translational research studies, including registries and observational studies., • Knowledge of treatment guidelines, clinical research processes, FDA regulations and OIG guidelines., • Valid driver's license and ability to travel extensively within the assigned territory., • Willingness and ability to travel up to 70% of the time. Preferred Experience: • Experience supporting AML, MDS, bone marrow transplant, cellular therapy, cancer immunotherapy, or related hematologic malignancies., • Prior product launch experience within the oncology or rare disease'space'., • Existing strong relationships with academic and community hematology/oncology centers. Networking and partnering with important external customers, including medical thought leaders, academic institutions, NCI Cooperative groups (e.g., ECOG-ACRIN, SWOG, etc.), various clinical trial consortia, large group community practices, medical directors of clinical groups, CMS and insurance carriers, as well as oncology pharmacy directors. Position Descriptions and Duties: Scientific Exchange & Stakeholder Engagement • Develop and maintain scientific relationships with KOLs, academic investigators, community hematology/oncology leaders, and priority institutions across the assigned territory., • Engage in compliant, peer-to-peer scientific discussions regarding AML, hematologic malignancies, immunotherapy approaches, mechanisms of action, clinical trial data, biomarkers, MRD, relapse risk, and evolving standards of care., • Communicate complex clinical and scientific information clearly and credibly to diverse external stakeholders, including physicians, researchers, advanced practice providers, pharmacists, nurses, and multidisciplinary care teams., • Support disease-state education, scientific education programs, advisory boards, investigator meetings, and other medical activities, as appropriate and in accordance with approved materials and compliance requirements., • Tactically execute scientific exchange with healthcare professionals (HCPs), KOLs, formulary committees, and other key stakeholders using client company-approved material., • Identify medical community training and educational needs., • Serve as a first and direct point of contact for investigators for the initiation of investigator-initiated studies., • Provide investigators with technical support for study development., • Identify and communicate key clinical and research issues from industry leaders to MSL leadership to help shape company research, development, marketing plans and strategies., • Maintain clinical expertise through aggressive self-education, including attendance at relevant conferences, scientific workshops and review of key journals., • Increase client company visibility with current and future thought leaders., • Enhance professional interaction between client company and industry leaders. Insight Generation & Strategic Medical Intelligence • Capture and communicate actionable field insights related to unmet medical needs, clinical practice patterns, treatment barriers, evidence gaps, stakeholder perceptions, patient identification, sequencing considerations, and adoption considerations., • Synthesize external insights into clear, objective themes and strategic recommendations that inform Medical Affairs, Clinical Development, evidence generation, scientific communications, and launch readiness activities., • Monitor and communicate developments in the competitive landscape, emerging data, clinical trial activity, guideline evolution, congress intelligence, and investigator interests within AML and related hematologic malignancies., • Serve as the voice of external oncology stakeholders internally, ensuring field-derived perspectives are integrated into strategic planning and cross-functional decision-making. Clinical Development & Research Support • Identify and cultivate relationships with current and potential clinical trial investigators, research centers, cooperative groups, and institutions with expertise in AML, MDS, transplant, cellular therapy, and related hematologic malignancies., • Identify, establish and maintain collaborative relationships with key investigators/ key opinion leaders and institutions strategic to the effective use of company products at a tactical level., • Support scientific discussions related to ongoing and planned clinical development programs, including trial awareness and site engagement activities, as appropriate., • Maintain current knowledge of relevant clinical literature, congress data, trial designs, endpoints, and emerging therapeutic approaches in hematologic oncology., • Identify clinical research opportunities that are consistent with company objectives. Medical Affairs Collaboration & Execution • Partner with Medical Affairs leadership and cross-functional colleagues to execute the field medical plan, • Document scientific interactions and insights accurately and timely in the appropriate CRM or insight management system., • Maintain the highest standards of scientific integrity, ethics, and compliance in all external and internal activities. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role is $170,000-$210,000 annually. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC's critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Position Highlights Location: This position will work a hybrid schedule based in Atlanta, GA. Up to 40% international travel required. Salary Range: $105,000-$135,000, plus benefits Position Type: Grant funded, limited-term opportunity contingent upon funding Position End Date: June 30, 2027 The CDC Foundation seeks a full-time Research Scientist to lead epidemiologic and surveillance activities to reduce maternal and neonatal mortality in Tanzania. The Research Scientist will work closely with the Principal Technical Advisor, Senior Epidemiologist, and others to conduct assessments to determine baseline and changes in the availability, access and quality of maternal health services in Tanzania. The Research Scientist will oversee field activities in Tanzania as well as serve as an advisor on monitoring and evaluation design, methods and analysis. The Research Scientist position is an interdisciplinary role that brings together strong technical and analytical skills, with knowledge of public health. The combined skills and experience are essential to ensure the strategic objectives of the project are met. Serves as an advisor for the planning, design, implementation and analysis of scientific studies. Participates and leads components of various aspects of the study design process and other study support duties including analyzing and reporting of data and data dissemination. Analyzes study implementation procedures for improvement. Provides advice and assistance in evaluating the methodology of past and proposed studies conducted within the program and assists subject-matter experts in the design of studies sponsored by the program. Lead data analysis to improve understanding of and prevention opportunities for addressing maternal and neonatal health in low-resource settings. Reviews literature to maintain current knowledge about measuring and evaluating maternal health capacity and performance at each level of the health system. Prepares scientific articles and technical reports for publication in national and international public health journals. Conducts presentations to other technical staff, donors, international Ministries of Health and other internal and external stakeholders. Lead field activities to conduct data collection at health facilities in low-resource settings such as Tanzania. Provide thought leadership to emerging international approaches to understand contributors to disparate maternal and neonatal health outcomes among populations. Lead and participate in project-related meetings and calls. Lead and participate in special projects and other duties as assigned. Master's degree from an accredited college or university with a background in epidemiology, biostatistics or closely related disciplines is required. PhD with concentration in epidemiology or biostatistics or a closely related discipline is preferred. Minimum of 10 years of public health and related professional experience required with direct experience in data analysis or 5 years of experience with a PhD required. Advanced proficiency in data management and analysis using SAS or other statistical software Experience in the design and execution of epidemiologic research, including advanced statistical analysis and in publishing research results. Demonstrates a high degree of initiative and flexibility to adapt to shifting priorities, able to communicate effectively in a positive and professional manner and able to prioritize activities when under tight deadlines. Excellent written and verbal communication skills with experience preparing, writing and editing complex documents such as detailed reports and peer-reviewed articles. Sound judgment and maturity exemplified by consistent professionalism in dealing with individuals at all levels both internally and externally. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. The CDC Foundation is a smoke-free environment. Relocation expenses are not included.

As a Senior Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research

Medical Physicist, Scientist, or MD in a clinical hospital or clinical research setting or 3 years of experience as a Medical Physicist, Scientist, or MD in a clinical hospital or clinical research setting plus 7 years of experience in healthcare industry as imaging scientist or research manager. Le

Mercer University in Atlanta, GA, seeks a Research Scientist to lead high-impact cardiovascular drug discovery projects in the Hasan Lab.

Emory University in Atlanta seeks a Senior Academic Research Scientist to lead high-impact laboratory and translational research projects.

The role combines field-based conservation with grant development, scientific publication, and mentorship of staff and students, contributing to the Garden’s leadership in plant #J-18808-Ljbffr.

Emory University in Atlanta seeks a Senior Academic Research Scientist to lead high-impact laboratory and translational research projects.

Senior Academic Research ScientistEmory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. Key Responsibilities:The Senior Academic Research Scientist is recognized as an authority in the scientifi