Role Description As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: - Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data - Implementing AI-based software solutions for cloud and edge environments - Conducting mission-critical fieldwork in support of customers and other stakeholders This position offers a fully remote work environment, or you can work hybrid/on site at customer locations at Joint Base Lewis–McChord in Tacoma, WA. If remote, you will be expected to travel up to 30% of the time. If local, you will be expected to travel up to 25% of the time. Qualifications - BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience - Proficiency in machine learning and data science and in applying both to image and video data - Proficiency in implementing and analyzing data structures and algorithms - Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn - Exposure to software development life cycle and tools (e.g., Git, Agile) - Active Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship Requirements - An advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline - Experience deploying machine learning and data science, and applying both to production environments - Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers) - Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, telemetry signals) - Experience building AI agents and agentic workflows - Experience implementing ETL pipelines, data pipelines, and/or workflow automation - Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java) - Experience building full-stack applications (i.e., back end, front end, REST) - Experience delivering technology solutions in secure government environments - Experience working with federal, state, and/or local government customers Benefits - Medical/dental/vision insurance - Voluntary life, long-term disability, accident, and hospital indemnity insurance - HSA and FSA (including dependent care FSA) plans - 401(k) plan - Unlimited PTO - Paid parental leave

Role Description We are sharing a specialised part-time consulting opportunity for biology research professionals experienced in bioactivity data review, protein target validation, primary literature analysis, assay interpretation, UniProt workflows, and evidence-based scientific annotation. This role supports current and upcoming remote consulting opportunities focused on bioactivity database review, protein target assignment verification, scientific literature analysis, structured error classification, and high-quality project execution. Selected professionals will apply their biology, pharmacology, biochemistry, or chemical biology expertise to verify whether protein target assignments accurately reflect the underlying scientific sources and provide concise, evidence-grounded review notes. Key Responsibilities - Protein Target Assignment Review - Review protein target assignments in large-scale bioactivity database workflows. - Compare assigned UniProt IDs against primary scientific sources, including papers, patents, and related research materials. - Determine whether target assignments accurately reflect the proteins being studied. - Propose corrected UniProt accessions when assignments require revision. - Scientific Literature & Bioactivity Data Evaluation - Read and interpret primary literature involving binding assays, functional assays, biochemical profiling, target validation, or drug discovery workflows. - Evaluate target, assay, and compound-related context using scientific judgment and domain knowledge. - Review bioactivity records involving databases such as ChEMBL, BindingDB, PubChem, or adjacent data sources. - Identify inconsistencies, unclear mappings, or evidence gaps in protein target assignments. - Structured Annotation & Evidence-Based Feedback - Flag and classify target assignment errors using a structured taxonomy. - Write concise, evidence-grounded notes explaining review decisions and scientific reasoning. - Apply consistent annotation standards across database records and supporting source materials. - Maintain accuracy, clarity, and professional judgment across submitted review work. Qualifications - BA/BS with 5+ years, MS with 2+ years, or PhD-level experience in a relevant biology, pharmacology, biochemistry, molecular biology, chemical biology, or drug discovery research field. - Experience in biotech, pharma, CRO, academic research, or applied life-science research environments. - Hands-on experience with binding assays or functional assays such as SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50, Ki, or KD analysis. - Current or recent bench-active experience in a research scientist, associate scientist, or related scientific role. - Working fluency with UniProt or adjacent workflows such as SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. - Strong ability to read scientific literature and make careful, evidence-based judgments. - Ability to work independently in a remote, project-based environment. Educational Background - A BA/BS, MS, or PhD in biology, pharmacology, biochemistry, molecular biology, chemical biology, or a closely related life-science field is relevant. - Practical experience in biotech, pharma, CRO, drug discovery, assay development, target validation, or biochemical profiling is highly valuable. - Equivalent applied research experience involving protein targets, bioactivity data, assay interpretation, or scientific annotation may also be considered. Nice to Have - Direct experience with ChEMBL, BindingDB, PubChem, UniProt, or related scientific databases. - Experience with selectivity profiling, counterscreening, biochemical assays, or functional assays. - Familiarity with agonist/antagonist and activator/inhibitor distinctions. - Experience supporting SAR workflows, HTS campaigns, target validation, biochemical profiling, or IND-enabling studies. - Ability to commit approximately 10–20 hours per week depending on project availability and scope. Why This Opportunity - Apply biology research expertise to structured remote scientific review work. - Contribute to high-quality bioactivity data review, protein target validation, and scientific annotation workflows. - Work on flexible assignments aligned with your research background and assay interpretation experience. - Use your scientific judgment to improve accuracy across complex life-science data workflows. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Eligible professionals should be based in the United States depending on project needs. - Expected part-time commitment of approximately 10–20 hours per week depending on project availability. - Expected minimum engagement of approximately 1–2 months, with potential extension depending on scope and performance. - Competitive rates between $40–$60 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .

Role Description As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond. About the role: - Product leadership: Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development. - Analytics: Guide product teams using data and insights, developing hypotheses and employing a varied toolkit of rigorous analytical approaches. - Communication and influence: Present data-driven stories, convincing and influencing leaders using clear insights and recommendations. - People leadership: Inspire, lead, and grow a team of data scientists and data science leaders. Responsibilities - Lead a team of data scientists to develop strategies for products serving billions of people and hundreds of millions of businesses. - Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams. - Influence product direction through clear and compelling presentations to leadership. - Work with large and complex data sets to solve challenging problems using various analytical and statistical approaches. - Identify and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics. - Define, understand, and test opportunities to improve the product, driving roadmaps through insights and recommendations. - Contribute towards advancing the Data Science discipline at Meta, including driving data best practices and mentoring other data scientists. Qualifications - Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). - Experience initiating and completing analytical projects with minimal guidance. - 4+ years of work experience (2+ years with a Ph.D.) in applied analytics, including 2+ years managing analytics teams. - Experience communicating results of analysis to leadership. - Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications - Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field. - Proven track record of leading high-performing analytics teams. - Demonstrated ongoing AI skill development and staying current with emerging AI technologies. - Experience working in technology, consulting, or finance. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact. - Experience adhering to and implementing responsible, ethical AI practices. Benefits - $177,000/year to $247,000/year + bonus + equity + benefits.

Role Description As a Data Scientist I, you will be responsible for providing data and analytic support for the business. This includes: - Working with large databases and applying quantitative methodologies using advanced analytical tools. - Performing substantive, comprehensive, and quantitative analyses to produce data-driven solutions and recommendations. - Positioning the company competitively relative to outcomes, operations, and profitability. - Working with a wide range of stakeholders and functional teams to improve business outcomes. - Troubleshooting data issues at a complex level and escalating issues to other resources as needed. This position is fully remote with a work schedule of Monday - Friday 8am - 5pm. Candidates must live in the state of AZ to be considered. Qualifications - Master’s degree in Statistics, Mathematics, Computer Sciences, Health Services Research, Process Engineering, Business, or related field. - Three to four years of hands-on experience with inferential statistics, A/B testing, machine learning, predictive modeling, and statistical analysis techniques in a healthcare or similar environment. - Experience working with cross-functional departments to serve as a liaison and provide relevant guidance or leadership. - Project management skills and ability to work independently, managing large and multiple projects. - Very good communication, interpersonal, and critical thinking skills. - Strong technical skills (SQL, SAS, Tableau, etc.). Requirements - Knowledge of subject matters such as process optimization, clinical workflows, population health, public health, disease prediction, readmissions, imaging analytics, and in/out-patient monitoring and alerting is preferred. - Masters or PhD in Math, Statistics, or related technical field is preferred. - Additional related education and/or experience preferred. Benefits - Health and financial security options. - Variety of benefit plans to help you and your family. Company Description Banner Plans & Networks (BPN) is an accountable care organization that joins Arizona's largest health care provider, Banner Health, and an extensive network of primary care and specialty physicians to provide comprehensive healthcare solutions for Maricopa County and parts of Pinal County. Through BPN, known nationally as an innovative leader in new health care models, insurance plans and physicians work collaboratively to keep members in optimal health while reducing costs.