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Company Description Dramby Environmental Consulting, Inc. (DEC) is a woman-owned small business headquartered in Richmond, Virginia, with satellite offices in Williamsburg, Virginia, Raleigh, North Carolina, Nashville, Tennessee, Atlanta, Georgia and Rockville, Maryland. Since 2008, DEC has been delivering high-quality environmental consulting services to both public and private sector clients nationwide. Our core services include environmental permit preparation and compliance, natural resource assessment, RTE species assessment, and NEPA documentation. DEC is committed to providing innovative, cost-effective solutions tailored to our clients' environmental needs, ensuring successful project outcomes while balancing environmental impacts. Sr. Ecologist/Sr. Environmental Scientist – Virginia We’re currently looking for a driven and experienced Sr. Ecologist/Sr. Environmental Scientist to join our team in Virginia. This role offers the opportunity to work independently while collaborating within a multidisciplinary group of environmental specialists. As a key team member, you’ll contribute to a variety of natural resource projects with a focus on wetlands and stream systems. You should bring strong technical knowledge of wetland regulations and permitting processes, along with hands-on experience in conducting large-scale wetland delineations. Key Responsibilities: • Lead natural resource projects across multiple locations, • Build and maintain strong relationships with clients, acting as a technical point of contact, • Lead wetland delineations and stream assessments in accordance with federal and state guidelines, • Prepare and review environmental reports, assessments, and proposals, • Lead Clean Water Act Section 404/401 permitting efforts, • Supervise and mentor support staff during fieldwork and report preparation, • Provide technical guidance on regulatory requirements in North Carolina, Virginia, and Maryland, • Perform on-site fieldwork in varying terrain and environmental conditions, • Analyze field data, develop GIS-based mapping products, and collaborate with cross-functional teams, • Serve as a senior technical resource for natural resource projects, • Participate in internal training programs and mentor junior team members Qualifications: • Bachelor’s degree in Environmental Science, Ecology, Biology, or a related field, • 3-8+ years of relevant experience in wetlands and natural resource consulting, • Professional Wetland Scientist (PWS) and VSWD certification preferred, • Strong background in wetland and stream delineations, particularly in the Southeast, • In-depth understanding of USACE and DEQ regulatory frameworks, • Experience with Endangered Species Act compliance and protected species surveys, • T/E certifications preferred, • Training or certification in NCWAM, NCSAM, and/or SWITC is a plus, • Proficient in GIS, Microsoft Office Suite, and environmental data analysis, • Excellent communication skills, both verbal and written, • Detail-oriented, self-motivated, and capable of working independently or as part of a team Physical and Work Environment Requirements: • Capable of performing fieldwork, including lifting up to 50 pounds and working in varying outdoor conditions, • Comfortable navigating uneven terrain, confined spaces, and elevated areas, • Willing to work in environments where dust, mold, or other hazardous materials may be present (with proper PPE), • Valid driver’s license with a clean driving record, • Willingness to travel overnight Our Commitment: We are an equal opportunity employer and welcome applicants from all backgrounds. We provide reasonable accommodations to individuals with disabilities and ensure compliance with all applicable local, state, and federal employment laws. • As part of our hiring process, selected candidates must pass a background check, drug screening, and driving record verification. We participate in the E-Verify program to confirm employment eligibility in the U.S. Salary: Salary is commensurate with experience and certifications. Hiring range is $72,500 - $97,500.

Mentor junior data analysts and contribute to a culture of learning, innovation, and quick experimentation.

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base

If you are a scientist who wants your training to directly influence how new devices reach patients—and you are willing to learn fast, write well, and grow with a small team—this is a strong entry point into a long‑term regulatory affairs career. About the role Mittal Consulting partners with innovative medical device companies to help them bring safe, effective technologies to patients worldwide through precise, timely regulatory strategy and submissions. This role is an opportunity to translate deep scientific training into real‑world impact by shaping how novel Class II and III devices reach US and global markets. It is designed for someone who prefers ownership and mastery over complex problems, and who values mentorship, clarity, and long‑term collaboration. What you will do • Build and refine practical regulatory tools, templates, and processes for medical device submissions (US and EU), helping make complex requirements understandable and repeatable for clients., • Draft, organize, and quality‑check key regulatory documents (e.g., Q-Subs, 510(k), De Novo, PMA, technical files, design dossiers) with a focus on logic, narrative flow, and scientific accuracy rather than “filling out forms.”, • Learn to map product concepts and scientific data to appropriate US, EU, and international regulatory pathways and risk classifications., • Maintain submission planners, timelines, and logs, so projects move forward reliably, and clients experience a calm, organized process even when their science is fast‑moving., • Participate in the preparation of FDA interactions (e.g., pre‑subs, meeting requests, responses to questions) and help distill technical input into concise, defensible positions., • Gradually take on more client‑facing and project management responsibility as you demonstrate judgment, reliability, and strong written work. Who will thrive here This role is ideal for a recent PhD/Post‑Doc graduate in engineering, biomedical, or hard sciences who wants to pivot from pure research into regulatory and strategy work without giving up intellectual challenge. You are likely to enjoy this if you: • Learn new frameworks quickly and enjoy going from “I’ve never seen this” to “I can explain this clearly” in a short time., • Have a low‑ego, ownership mindset: you care more about getting it right than being right, take editorial feedback well, and are willing to iterate your work product., • Write clearly, succinctly, and logically; you are comfortable turning scattered inputs (emails, reports, data) into coherent, well‑structured documents., • Prefer depth over title: you want to become a trusted regulatory thinker over time, not just “check a box” to get experience., • Value loyalty and long‑term collaboration and are looking for a place where investing in the relationship is reciprocated with mentorship, flexibility, and increasing responsibility. Qualifications and working conditions • PhD or Post‑Doctoral training in engineering, neuroscience, biomedical sciences, or a closely related hard science; prior exposure to medical devices or clinical/regulated environments is a plus but not required. Pharma background is not ideal., • Demonstrated excellence in scientific or technical writing (e.g., manuscripts, grant sections, white papers, protocols) and careful document review., • Strong organizational habits, comfort managing multiple workstreams, and responsiveness to deadlines., • Interest in developing expertise in FDA and EU medical device regulations, including 510(k), De Novo, and PMA pathways, with guidance and training., • Remote, flexible‑hours 1099 contractor role; you provide your own workspace and laptop, and work software (email, Zoom, Office, CRM) is provided as needed., • Headquarters in Portland, Oregon; occasional reimbursed travel may be required for select meetings or client needs, (e.g traveling to Washington D.C for meetings with the FDA) See what is it like to work at Mittal Consulting https://www.youtube.com/watch?v=F6LxNnTV8&t=204s

Drug Discovery Scientist Position: Drug Discovery Scientist Type: Hourly Contract Compensation: $60–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Drug Discovery Scientists to contribute to an advanced AI research and evaluation project focused on pharmaceutical research and development. You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through incomplete, indirect, and potentially misleading scientific evidence. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks. The role is ideal for experts who can distinguish genuine scientific reasoning from pattern matching and confidently evaluate the quality of complex research conclusions. Responsibilities • Design challenging, realistic drug discovery research problems based on authentic scientific workflows., • Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated., • Build comprehensive data rooms using real, source-grounded scientific data and documentation., • Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source., • Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions., • Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility., • Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable., • Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly., • Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning., • Collaborate with project reviewers and other domain experts to refine research tasks. Required Qualifications • Professional expertise in one or more of the following areas:, • Mechanistic enzymology, • Structure-guided peptide design, • Structure-guided antibody design, • Fragment-based drug discovery, • Structure-based medicinal chemistry, • PhD or equivalent industry experience in drug discovery, medicinal chemistry, chemical biology, biochemistry, or a closely related field., • Strong understanding of drug discovery research methodologies and scientific evidence evaluation., • Ability to construct complex scientific problems with defensible conclusions., • Strong analytical and critical-thinking skills., • Ability to evaluate scientific reasoning quality, not simply final answers., • Strong scientific writing and documentation skills., • Comfortable working independently in a remote research environment., • Ability to commit at least 20 hours per week. Preferred Qualifications • Experience designing or evaluating drug discovery research strategies., • Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery., • Experience working with scientific literature, experimental datasets, structural data, and research documentation., • Experience developing research assessments, scientific benchmarks, or evaluation frameworks., • Familiarity with open-source scientific tooling and computational research workflows., • Experience evaluating AI-generated scientific research or technical outputs is a plus., • Strong ability to distinguish defensible scientific conclusions from unsupported assumptions or superficial reasoning. Compensation • Competitive compensation of $60–$90/hour., • Hourly contract engagement., • Fully remote., • Minimum commitment: 20 hours/week., • Up to 40 hours/week available., • Claude Max subscription required for the project and fully reimbursed., • Work conducted through a browser-based research studio and Claude Code. Application Process • Apply to the role, • Complete the required screening questions, • Provide details about your drug discovery and scientific research experience, • Complete the relevant scientific assessment, • Participate in the evaluation/interview stage, • Complete onboarding and tooling setup, • Begin designing and evaluating drug discovery research tasks

Position Overview The Senior Data Scientist, Advanced Analytics, develops machine learning models and advanced analytical solutions that optimize customer acquisition, retention, pricing, and marketing effectiveness. This role leverages predictive modeling, experimentation, and cloud-based machine learning technologies to solve complex business problems and deliver measurable business impact. Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. Key Responsibilities Advanced Analytics & Data Science • Develop and deploy scalable predictive and machine learning solutions that improve customer acquisition, retention, pricing strategies, and marketing performance., • Own the end-to-end machine learning lifecycle, including model design, feature engineering, development, validation, deployment, monitoring, optimization, and continuous improvement to deliver accurate, reliable, and production-ready solutions., • Apply advanced statistical techniques, machine learning, predictive analytics, and experimentation to solve complex business challenges, identify growth opportunities, and optimize business performance., • Develop machine learning solutions using BigQuery ML and Python libraries, including scikit-learn, XGBoost, LightGBM, and pandas., • Communicate analytical insights and actionable business recommendations through compelling visualizations, dashboards, and executive-level presentations., • Research, evaluate, and implement emerging AI and machine learning technologies to continuously enhance analytical capabilities and business outcomes. Data Engineering • Develop robust SQL transformations and scalable data pipelines in BigQuery., • Build reusable datasets, feature stores, and automated model training and scoring pipelines., • Implement model monitoring, performance tracking, and automated retraining processes to ensure long-term model accuracy and reliability., • Ensure data quality through validation, testing, monitoring, and governance best practices., • Partner with Data Engineering and IT to build and maintain scalable analytics infrastructure supporting production machine learning solutions. Business Impact • Improve customer acquisition and retention through predictive analytics., • Optimize pricing strategies through price elasticity modeling and customer response analytics., • Optimize marketing campaigns and sales channel performance using data-driven insights., • Increase operational efficiency through scalable automation and reusable analytical assets., • Deliver accurate, validated insights that influence strategic business decisions., • Build sustainable machine learning solutions that create long-term competitive advantage. Qualifications Required • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Marketing Analytics, or a related quantitative field., • 7+ years of experience in data science, machine learning, or advanced analytics., • Strong programming skills in Python and SQL., • Experience with BigQuery, BigQuery ML, and cloud-based analytical environments., • Hands-on experience with machine learning libraries such as scikit-learn, XGBoost, LightGBM, and pandas., • Strong understanding of predictive modeling, statistical analysis, experimentation, feature engineering, model validation, and machine learning best practices., • Experience building machine learning models and automated analytical pipelines., • Excellent communication skills with the ability to translate complex analytical findings into business recommendations. Preferred • Masters degree in Data Science, Statistics, Computer Science, Analytics, or a related field., • Telecommunications industry experience., • Experience with Power BI or similar visualization platforms., • Experience with speech analytics platforms (NICE, Verint, CallMiner), natural language processing (NLP), and Generative AI/LLM applications.

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary Sapio Sciences is looking for a Director of Field Marketing to own our global events strategy across the UK, Europe, and North America. This is a high-impact, hands-on role for someone who thrives at the intersection of strategy and execution — from selecting the right tradeshows and industry conferences to designing the booth, managing the budget, and turning attendee lists into pipeline. You'll run webinar programs end-to-end, partner closely with Product Marketing, Commercial Partnerships, and Sales to ensure every event drives measurable ROI, and build the team and processes needed to scale field marketing as we grow. Essential Responsibilities • Own the end-to-end events calendar across UK, Europe, and North America, including tradeshows, industry conferences, webinars, and field/regional events from selection through post-event reporting, • Communicate field marketing strategy, planned programs, and expected outcomes to the broader team on a regular cadence, • Manage all event logistics: booth design and build, shipping, staffing, vendor contracts, lead capture setup, and on-site execution, • Plan and run webinar programs, including topic selection, speaker coordination, promotion, and post-event follow-up sequencing with Marketing, • Build and manage event budgets; negotiate with venues, booth vendors, and sponsors to maximize ROI, • Partner with Product Marketing to ensure event messaging, collateral, and demos reflect current positioning and active launches, • Partner with the Director of Commercial Partnerships to align event objectives with partner marketing strategies and co-marketing initiatives, • Coordinate with Sales on target account lists and pre-event outreach so tradeshow attendance converts to pipeline, • Manage relationships with industry associations and conference organizers (e.g. SLAS, Bio-IT World, and similar life sciences and informatics events), • Track and report on event performance, leads generated, pipeline influenced, cost per lead, ROI and post event reports to apply findings that shape the forward calendar, • Manage and develop event coordinators, contractors, and agency partners supporting field programs, • Train booth staff on event etiquette, lead capture best practices, and on-site messaging consistency, • Travel on-site to run events in person across all regions as needed; estimated at 20% of time Required Education & Experience • 5+ years in B2B field marketing or event marketing, • Proven track record running tradeshow programs end-to-end, including budget ownership, vendor negotiation and ARR contribution, • Experience running webinar and virtual event programs on with such tools as Go To Webinar, Zoom, etc, • Comfortable working across UK, EMEA and US time zones and travel logistics, • Very strong project management skills using tools like Asana, Trello, where you can run multiple events in parallel without dropping details, • Experience working with CRM/marketing automation platforms (HubSpot preferred) for lead capture, tracking, and reporting, • Clear, direct communicator who can work cross-functionally with Sales, Product Marketing, and executive stakeholders, • Strong preference to candidates with SAAS (software as a service) experience, • Nice to have: Existing familiarity with life sciences, laboratory informatics, LIMS, or regulated lab markets Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. About the Role This is not a traditional inward-facing product manager role. This is an externally oriented, product marketing-biased position at the intersection of product strategy, customer engagement, and commercial execution. The right candidate will be as comfortable in front of a prospective customer or at an industry conference as they are working through a product roadmap with internal stakeholders. As Senior Product Manager, you will be the outward voice of the Sapio platform. You will own the narrative around how our products solve real scientific and operational challenges, translating deep domain knowledge of ELN, LIMS, and CMC workflows into compelling demonstrations, positioning, and messaging that resonates with buyers, users, and partners. You will report directly into our VP of Product, and work in close collaboration with the executive leadership team, including our CEO. You will operate as a senior and trusted voice, capable of engaging confidently at the executive level — both internally and with our most strategic customers. Working Location This is a remote-first role. We are open to candidates based in the US (East Coast preferred) or the UK. There is an expectation to travel periodically — to meet with the leadership team, to join key customer engagements, and to represent Sapio at industry events. Our teams are spread across the US and the UK, with offices in York, PA, Fort Lauderdale, and London. Essential Responsibilities • Own the outward-facing product narrative — developing positioning, messaging frameworks, and demo strategies that clearly articulate the value of Sapio’s platform across ELN, LIMS, and CMC workflows., • Lead and deliver high-impact solution presentations to prospective customers, partners, and at industry events, tailoring content to audience — from bench scientists to C-suite executives., • Act as a strategic bridge between development, marketing, and sales — ensuring go-to-market activity is grounded in product reality and customer insight., • Develop deep domain expertise across CMC (Chemistry, Manufacturing and Controls), with a strong understanding of biologics and the broader life sciences landscape, to credibly engage with scientific and regulatory stakeholders., • Partner closely with the Head of Product and executive leadership team to align external messaging with product direction and company strategy., • Represent the voice of the customer internally — synthesising feedback from demos, customer conversations, and market signals into actionable product and positioning insights., • Collaborate with sales on RFP responses, proof-of-concept engagements, and strategic account support where product expertise and demonstration capability are required., • Lead product marketing efforts, partnering with the marketing team on content development, conference presentations, webinars, and customer advisory board preparation., • Engage regularly with the executive leadership team and CEO, providing clear, confident, and commercially aware perspectives on market positioning and customer feedback. Required Skills & Experience • Proven experience in a product management or product marketing role within a life sciences software company, with a clear external and customer-facing orientation., • Deep knowledge of ELN and LIMS products — you must be able to speak credibly about these platforms with scientists, lab managers, and IT stakeholders., • Solid understanding of CMC processes, with experience in or exposure to biologics and the biotech/pharma development pipeline strongly preferred., • A strong product marketing mindset — you understand how to translate complex functionality into compelling value propositions and customer stories., • Demonstrated experience managing and influencing senior stakeholders, including executive leaders. You are comfortable in the room with a CEO and bring presence, preparation, and commercial acumen., • Track record of delivering high-quality product demonstrations that move deals forward and build customer confidence., • Experience operating across scale-up and/or corporate environments — you can navigate both the pace of a growing company and the complexity of large enterprise accounts., • Excellent communication and presentation skills — written, verbal, and visual. You can simplify the complex and make it land., • Strong commercial awareness and ability to align product activity to business outcomes. Required Skills & Abilities • Customer-first mindset — naturally curious about how scientists and laboratory professionals work, and motivated by solving their real problems., • Confident and credible communicator at all levels, from bench scientists to C-suite; equally effective in one-to-one conversations and large group settings., • Able to manage competing priorities across product, sales, and marketing workstreams without losing quality or focus., • Self-starter who thrives in environments with autonomy — you set your own pace and hold yourself to a high standard., • Collaborative and inclusive in how you work with colleagues across geographies and functions., • Adaptable and comfortable with ambiguity — you can operate effectively as strategy evolves., • High integrity and accountability; you follow through on commitments and are transparent about progress and challenges., • Strong attention to detail in customer-facing materials and communications. Preferred Experience • Background in biologics, CDMOs, or pharmaceutical development organisations, with hands-on familiarity with how CMC data is generated, managed, and reviewed., • Experience in a dual product management / product marketing function, or close collaboration between the two., • Familiarity with the regulatory and quality context in which ELN and LIMS platforms operate (e.g. 21 CFR Part 11, GxP environments)., • Prior experience in a scale-up or Series B/C-stage software business, where you have built processes and collateral from the ground up., • Exposure to scientific data management platforms, informatics, or adjacent software categories., • Experience presenting at industry conferences, user groups, or customer advisory boards. What We Offer At Sapio Sciences, we recognise that our people are our greatest strength. That’s why we’re proud to offer: • A competitive salary and benefits package, • Flexibility to work remotely, with opportunities to travel, • A comprehensive onboarding and training programme, • Ongoing opportunities for professional growth and development, • A collaborative, inclusive and supportive work environment Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Type: Flexible Contract (Remote) Cobalt is hiring experienced biologists to review and build tasks that test whether frontier AI models can reason through real experimental science. Your job is to judge whether a model’s reasoning about an experiment is correct, and to explain precisely where it goes wrong when it is not. We are especially looking for scientists with hands-on flow cytometry experience. If you are the person in your lab who spots the flawed control, the mislabeled gate, or the conclusion the data does not support, this role is built around that skill. What you will do • Review AI-generated answers to experimental biology problems end to end, including the experimental design, the methods, the data interpretation, and the final conclusion, and confirm that each step is scientifically sound and consistent with the others., • Write realistic problems from your own area of expertise, along with reference solutions that show the reasoning a skilled scientist would follow, not only the final answer., • Look for ways a model could reach a correct-looking answer without sound reasoning, such as relying on a textbook pattern that does not fit the data, ignoring a missing control, or overlooking an artifact, and document each issue clearly., • Judge whether a model’s failure reflects a real gap in scientific reasoning, or instead reflects an ambiguous question, missing information, or an unfair reference answer., • Write clear, specific feedback and work with task authors through revisions until each task meets the acceptance standard., • Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. Example tasks you might review include designing a multicolor flow cytometry panel for a given set of markers and instrument, critiquing a gating strategy and identifying where a population was misassigned, explaining why compensation errors produced a false double-positive population, and judging whether a reported difference between treatment groups is supported by the data. Who we are looking for • Advanced degree in biology, immunology, cell biology, biochemistry, or a closely related life sciences field., • Hands-on laboratory experience, gained through research, a thesis, a postdoctoral position, a core facility, or industry work. You should be comfortable reading an experimental protocol and saying whether it would work., • Strong working knowledge of experimental design, including controls, replicates, and when a difference between two results is meaningful., • Careful, direct written communication. Much of the job is explaining precisely what is wrong and why., • No prior experience with AI is required. Strong advantages • Hands-on flow cytometry experience, including panel design, compensation, gating, and data analysis, using instruments such as the BD FACSymphony or Cytek Aurora and software such as FlowJo, FCS Express, or OMIQ., • Experience with spectral or mass cytometry, or with clinical flow cytometry such as leukemia and lymphoma immunophenotyping., • Experience managing or working in a core facility, training other scientists, or serving as a peer reviewer for a journal. Why Cobalt AI • Shape how AI understands science. Your judgment directly determines which tasks are used to measure what leading models can and cannot do in biology., • Use your expertise in a new way. You will see up close how frontier models reason about experiments and where they break., • Fit the work around your current role. Set your own schedule, with flexible weeks that can scale up or down around your research and other commitments., • Grow with us. Strong reviewers can move into task design, project leadership, and research collaborations on future projects.

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.

Location: Remote or hybrid, United States.

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands.Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad

Our client, a major legal company, is actively looking for a Senior Data Scientist to join their team! This is a fully remote position, however candidates must be located in the US and able to work EST hours. * This begins as a 1 year contract with an opportunity to extend or convert at any time * Position Summary We are seeking a Data Scientist to develop and evaluate AI solutions for legal content workflows. The role focuses on large language models, natural language processing, and reliable data pipelines. Experience with traditional machine learning is a strong plus. The successful candidate will collaborate with engineers, product stakeholders, and legal subject matter experts to translate business requirements and editorial feedback into measurable improvements. This role requires strong Python skills, sound experimental judgment, and the ability to independently investigate issues and deliver working solutions. Key Responsibilities • Develop and improve LLM-based workflows for information extraction, classification, legal summarization, and content generation., • Design and evaluate prompts, retrieval-augmented generation (RAG), and multi-step agent workflows., • Build reliable data-preparation pipelines, including parsing, transformation, validation, caching, and recovery from interrupted processing., • Create representative evaluation datasets and conduct controlled experiments, error analysis, and regression testing., • Work with subject matter experts to assess factual accuracy, completeness, source support, and consistency, and translate feedback into generalizable improvements., • Diagnose problems across data, retrieval, model behavior, and application logic., • Balance output quality, latency, and cost when comparing technical approaches., • Maintain tested, version-controlled code and clear documentation to support reproducibility and team handoffs. Required Qualifications • Bachelor’s degree or higher in computer science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience., • At least 3 years of relevant experience in data science, machine learning, or NLP, including hands-on experience developing LLM-based applications., • Strong Python programming skills and experience with SQL and structured or semi-structured data, such as JSON and XML., • Practical experience with prompt design, structured outputs, retrieval, and systematic LLM evaluation., • Understanding of statistical evaluation, train/validation/test separation, data leakage, and appropriate performance metrics., • Experience using Git, debugging existing code, and writing automated tests., • Ability to communicate findings clearly, incorporate feedback, and proactively raise delivery risks. Preferred Qualifications • Experience with traditional machine learning, including feature engineering, classification, tree-based models, and imbalanced datasets., • Familiarity with scikit-learn, PyTorch, or comparable frameworks., • Experience fine-tuning transformer models for classification, information extraction, or sequence labeling., • Familiarity with AWS, particularly S3 and EC2, and Linux or GPU-based training environments., • Experience with legal documents, editorial workflows, or other accuracy-sensitive domains.

Sr. 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. RESPONSIBILITIES: • Perform Exploratory Data Analysis (EDA), • Develop models from scratch using AI for development, • Generate ideas and develop solutions, • Develop models (testing and training), • Create prototypes and Proofs of Concept (POCs) for rapid validation and feasibility assessment, • Conduct experiments and measure impact, • Deploy models into cloud production environments, • Monitor model performance This is a tremendous opportunity to work on highly visible projects! Enjoy a casual dress code, dynamic and high-energy team members, and the ability to learn and execute business skills from a leader in their industry. This 12-month contract position in Atlanta, and you can work remotely. Visionaire Partners offers all full-time W2 contractors a comprehensive benefits package for the contractor, their spouses/domestic partners, and dependents. Options include 401k with up to 4% match, medical, dental, vision, life insurance, short and long-term disability, critical illness, hospital indemnity, accident coverage, and both Medical and Dependent Care Flexible Spending Accounts. REQUIRED SKILLS: • 2-3 years of professional experience as a Data Scientist, • Expertise in Operations Research and Mathematical Optimization Modeling., • Strong experience with Linear Programming (LP), Mixed-Integer Programming (MIP), and Network Optimization, • Strong experience in Python, • Expertise in optimization libraries and solvers such as CPLEX, Gurobi, OR-Tools, or similar tools. (Gurobi used in the current environment), • Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms, • Exposure to using Git for version control and collaborative development, • Master's degree (Operations Research, Engineering, Mathematics, Statistics), • PhD in Quantitative Field (if not, then 4 years of professional work experience) PREFERRED SKILLS: • Demand forecasting experience (Time Series, ARIMA, etc.), • Strong experience in data visualization tools (e.g., Tableau, Looker Studio etc.) Must be authorized to work in the U.S./Sponsorships are not available.

As Scientist / Lead, Translational Data Platforms, you will play a pivotal role in shaping how researchers interact with complex clinical and multi-omic datasets, influencing platform strategy, developing innovative analytical capabilities, and helping build technologies that enable the next generat

Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists. Define technical vision and strategy for data-driven product

They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data). Our client, a leader in consumer purchase data and an

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

Job DescriptionJob Description Timmons Group is seeking a Environmental Project Manager for our Environmental Group located in our Richmond, VA office. The Environmental Project Manager is responsible for the oversight, production, and delivery of technically sound products that meet internal and external client expectations, on time and on/under budget. They are a subject matter expert and can independently provide clients with accurate consulting for the services provided by the Group. They prepare environmental documents and independently coordinate with regulatory agencies on permitting tasks to ensure compliance while working to resolve complex environmental issues as a technical expert. The Environmental Project manager completes marketing and business development tasks, and possesses the ability to see projects through with very little oversight. Supervisory Responsibilities Supervisory responsibilities include evaluating and mentoring assigned staff to the project team, as well as providing feedback on team performance. This individual must be highly motivated, a self-starter; flexible, detail-oriented, enjoy interacting with employees and clients; willing to work at a dynamic pace to complete tasks and meet deadlines; and share a commitment to our firm’s vision, mission, and shared values. Essential Duties and Responsibilities of a successful candidate include but are not limited to: · Reliably collects and interprets data following established methods and guidelines · Provides briefings of findings and makes recommendations to clients · Acts as subject matter expert, using professional judgment to direct, monitor, and complete assigned projects · Actively delegates and coordinates tasks and schedules with project team members · Responsible for coordinating the timely invoicing of fees · Serves as mentor to teach, train, and answers questions of Environmental Technicians and Environmental Scientists I, II & III · Checks the accuracy (formal and informal QA/QC) of assigned tasks · Pro-actively identifies technical, schedule or financial issues and seeks resolution from the the client, as appropriate to the situation · Develops proposals, including the calculation/estimation of time schedules and costs of the proposed work · Cross markets other firm services as appropriate to his/her clients · Independently communicates on technical matters with the client as a technical expert · Day travel and overnight stays are required at times · Performs other duties as assigned Skills/Requirements of a successful candidate include but are not limited to: · Demonstrated project management skills · Ability to work independently as well as part of team with excellent time management skills to ensure deadlines are met · Must be capable of correctly operating technical analysis equipment and computer equipment · Must possess strong technical verbal and technical writing skills and be able to read technical literature, regulations, guidance documents, and engineering plans · Must possess strong analytical and problem-solving skills and be able to apply professional knowledge to the solution of both routine and non-routine tasks and engineering activities · Must have demonstrated subject matter expertise related to environmental science and consulting · Must be capable of acting as an independent contributor by successfully completing/directing tasks and delivering technically sound reports and products · CADD/GIS skills preferred Education and/or Experience · A bachelor’s or master’s degree (preferable) from an accredited four-year college or university, with coursework in Environmental Science or a related field(s) and/or equivalent work experience · Six or more years of environmental consulting experience preferred · Current registration as a Professional Soil Scientist, Wetland Professional, or Professional Geologist in one or more states in which Timmons Group conducts business is preferred. Compensation: Our best estimate of the salary range for this position is $80,000-$110,000. Offers are based on a range of job-related factors such as internal equity, experience, skills, education, credentials and role complexity. Information on our comprehensive benefits package be found here. Additional Information The requirements listed are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are looking for high energy, creative, flexible, patient, self-starters who are willing to work at a dynamic pace. Candidates must share a commitment to our company’s Vision, Mission and Shared Values. Timmons Group is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected Veteran status. Timmons Group is a full-service engineering and technology firm recognized nationally as a “Best Firm to Work For” by CE News. With 21 offices throughout the Mid-Atlantic and Southeast, we provide civil engineering, environmental, economic development, GIS/geospatial technology, landscape architecture, and surveying services to a diverse client base. As one of Engineering News Record’s (ENR) Top 500 Design Firms for over 30 years, we are dedicated to being an employer of choice and providing our people with the best resources, technology, and culture to help them thrive in an engaging career development setting. For more information, visit www.timmons.com. #LI-KH1

Job Description Future Java, Data, and AI Professionals — Start Your Tech Career With a Process If you are serious about launching a career in tech, do not rely only on random applications, scattered tutorials, or hope. The candidates who stand out usually have current skills, strong projects, interview confidence, and a clear story about the value they can bring. That is especially important in competitive entry-level and junior hiring.Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experiencePlease check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/SynergisticIT is looking for candidates interested in entry-level software programming, Java full-stack development, Python/Java development, DevOps, data analysis, BI, data engineering, data science, machine learning, and AI programming. This opportunity is ideal for recent graduates, bootcamp graduates, career changers, laid-off candidates, and job seekers with limited experience. SynergisticIT JOPP is good for candidates because it is built around job readiness and placement-focused preparation. It helps candidates strengthen technical skills, build project proof, improve resume positioning, prepare for interviews, and approach the job market with a structured plan. Start your tech career with a process—not guesswork. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job Description Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Title: Data Scientist Location: Mark Center Dr., Alexandria, VA 22311 Clearance Requirement: Active Secret OR Top-Secret Clerance Duration: 6-Month Contract-to-Hire • Top Must-Haves:, • Python, • Data Pipelines / ETL, • Data Wrangling & Data Integration, • AI / Machine Learning, • Power BI & Dashboard Development A leading government contractor is seeking a Data Scientist to support a mission-focused federal program operating at the intersection of national security, intelligence, and emerging technology. The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational and mission data into predictive insights and decision-support products. This role requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies supporting operational planning, mission assessments, capability development, and strategic decision-making. Key Responsibilities • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making., • Utilize Maven Smart System (Client), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities., • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators., • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation., • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments., • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings., • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives., • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities., • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis., • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior leadership. Required Qualifications Education & Experience: MA/MS with 10 years experience; BA/BS with 15 years; AA/AS with 17 years; or HS/GED with 19 years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges. Technical Skills: • Experience utilizing Maven Smart System (Client), Palantir, or similar enterprise analytics and data integration platforms., • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development., • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications., • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations., • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies., • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources., • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making., • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, and executive briefings. Professional Skills: • Ability to communicate complex analytical concepts and model outputs to senior leadership in a clear and actionable manner., • Proven ability to collaborate across multidisciplinary technical and operational teams., • Experience with doctrine, policy, analysis, or coordination within a large government organization. Preferred Qualifications • Experience supporting defense, intelligence, or homeland security organizations., • Experience in the counter-system or counter-threat mission space, particularly involving unmanned or improvised systems., • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems., • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, or threat forecasting., • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance., • Experience supporting operational research, capability development, technology evaluations, or acquisition decision-making within defense organizations., • Backgrounds in surface warfare, aviation, maritime defense, or installation defense are considered transferable. For more information and other jobs available please contact our recruitment team at careers@tekfortune.com . To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/ .

Job Description Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind? We're looking for a Senior Data Scientist to build and improve the machine learning models behind Mission Lane's credit decisions. The impact you'll make: Behind every "yes" from Mission Lane is a model that had to see past a credit score to the story behind it, the kind of story that doesn't fit neatly into three digits. You'll build and sharpen the models that read that signal right: accurate enough to trust, fair enough to stand behind, and sound enough to move our customers forward. A lot of our applicants don't have years of clean credit history to lean on, so the standard score alone doesn't get you very far. That means you'll get to dig into the interesting work of figuring out what else predicts repayment. Mission Lane is still young, but we've landed in an exciting, stable stretch of maturation, and you'll learn and grow right along with us. As Senior Data Scientist you will: • Design, build, and deploy supervised learning models that power Mission Lane's credit decisions, from first experiment through production, • Partner with credit risk and portfolio teams to translate open business questions into modeling problems, and communicate the trade-offs between them, • Monitor models already in production, catching drift and validating performance so they keep doing what they were built to do, • Apply strong software engineering practices to your modeling work, including test-driven development, code review, and refactoring, • Explore new data sources and modeling approaches using Mission Lane's Python data stack. Our core tech stack includes: Python and the Python data stack (numpy, polars, scikit-learn), LightGBM, DVC, Kubernetes, Airflow, Google Cloud, and Chalk, our feature store. You'll thrive in this role if: • You're motivated by practical solutions, and curiosity is part of how you work every day., • You haven't necessarily worked in credit or lending before, but you're excited to learn a domain where regulations and long-horizon predictions matter., • You're comfortable with the full lifecycle of a model, including the less glamorous parts like data cleanup, monitoring, and validation., • You work well with people outside data science and can explain a modeling decision in plain language. Minimum qualifications: • A degree in a quantitative field and 1+ years of work experience in a related role, • Experience creating, deploying, and managing supervised learning models in a production system, • Experience writing tested, reviewed, reproducible code, for data pipelines and model training alike, working fluently in the Python data stack., • Familiarity with working at the command line, shell scripting, databases, and cloud computing services, • Ability to travel ~4+ times per year for high quality in-person collaboration Preferred qualifications: • Experience solving problems in consumer lending or fintech, • Experience with Airflow, Dagster, or other data pipeline platforms Compensation: Annual full-time starting base salary range: $120,000 - $134,000 This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment. About Mission Lane: Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do. In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors. Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters. Application Integrity: Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.

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.

Are you passionate about connecting laboratory science and technology to strengthen quality systems, regulatory compliance, and business outcomes? Join us as an LIMS Product Owner and Technical Lead for OneLab, the BIOVIA LIMS that supports laboratory testing across Altria's Operating Companies! In this role, you'll advance quality computer systems by applying deep technical expertise to design and optimize system capabilities and workflows that improve consistency, usability, and control while aligning with compliance and operational needs. We're looking for a hands-on technical leader who can translate laboratory science into software solutions. They will also strengthen collaboration across functions to improve solution quality, speed up delivery, and build confidence among partners. This position is based in Richmond, VA, with a hybrid work schedule (Tuesday through Thursday in the office). Relocation benefits are available. What you will be doing: • Product Ownership and Platform Delivery, • Leading platform upgrades from readiness and gap assessment through testing and go-live, including prioritizing fixes and replacing customizations with out-of-box functionality., • Defining and maintaining method architecture and configuration standards that simplify the system and reduce lab and development effort., • Method Development and System Configuration, • Leading recipe and method development for laboratory customers, • Configuring and supporting sample login workflows, admin configuration, and system administration., • Designing data import solutions for external contract labs, including testing of data files and spec sheets., • Integrations, Reporting, and Data, • Leading instrument integration and metrology activities, including instrument setup, connectivity, events, resolving issues, and auditing., • Supporting system integrations, • Quality, Compliance, and Risk Management, • Maintaining QMS documentation, work instructions, and control documents to support system and business changes., • Prioritizing and resolving open compliance and system-related items to ensure timely risk mitigation., • Establishing testing best practices that improve edge-case coverage and the use of representative data., • Stakeholder Engagement and Team Leadership, • Translating lab-scientist language into implementable software requirements using visual mock-ups, use cases, workflow diagrams, and live demos., • Leading and coaching method developers, • Facilitating regular business partner alignment across scientific, quality, and IT teams, • Delivering end-user training and organizational change management for new functionality. We want you to have: • Bachelor's degree or advanced degree in Information Systems, Computer Science, or a related field, • Certified Scrum Product Owner (CSPO) certification preferred., • 5+ years of educational and/or work experience with laboratory or scientific systems., • Hands-on experience developing or supporting a LIMS in a regulated laboratory environment preferred., • Experience as a product owner or team lead on a system implementation or upgrade preferred., • Experience in instrument and system integrations preferred., • Working knowledge of QMS documentation, validation, and User Acceptance Testing preferred., • Familiarity with analytical testing workflows preferred., • Strong written and oral communication, critical thinking, and the ability to translate scientific needs into technical solutions., • Strong organizational and prioritization skills, with the ability to handle multiple priorities, maintain attention to detail, and meet commitments in a dynamic environment. The starting salary is based on but not limited to experience, knowledge, and qualifications in determining compensation decisions. The Salary Range for this position is: $104,900.00 - $152,150.00. Why You'll Love Building Your Career at Altria At Altria, we believe a great career starts with feeling supported both at work and in life. Here's what you'll find here: Own your time start with 15 days of paid time off, 13 paid holidays, 2 floating holiday days, and a 37.5-hour workweek so you can recharge and live fully. A place where you belong where your ideas are welcomed, your growth is encouraged, and your impact is real. Get recognized for your work annual merit increases and performance bonus. A future you can count on 401(k) matching from day one; plus Deferred Profit Sharing, an annual company contribution in an amount equal to 13%17% of your base salary. Help with your goals get help with student loan repayment assistance, attend a conference, or gain a new certification with professional development stipends. Support for what matters most comprehensive medical, dental, and vision coverage for you and your family. Celebrating your milestones paid parental and bonding leave for life's biggest moments. Wellness that goes beyond work programs that care for your whole well-being at whatever stage you are in your life. A culture that gives back paid volunteer days and a shared commitment to making a difference. At Altria, we offer more than benefits we offer a career that fits your life, rewards your ambition, and celebrates your impact. This position is not eligible for sponsorship.

Together We Innovate. Together We Change. Are you a chemist looking to assure quality and drive improvements at a leading manufacturing company? If so, then we have an opportunity for you! We are currently looking for a Regulatory Scientist II in Richmond, VA. The position will work with other laboratory staff in a team environment to deliver accurate, timely, quality test results, maintain laboratory testing equipment, and provide skilled technical support. Flexibility is required to support all production shifts, weekends and holidays as needed. You are willing to work C shift (11:00 PM to 7:00 AM). What you will be doing: • Sample and test raw and in-process materials for conformance to specifications and releasing approved materials to production, • Perform analytical and physical testing related to process monitoring and quality control, • Review and approve data generated by the laboratory staff, • Perform calibrations, verifications, maintenance, and troubleshooting on laboratory equipment, • Initiate and lead out of specification and suspect data investigations, implement corrective and preventive actions, • Manage inventory of laboratory consumables, reagents, and equipment calibration, • Assist with the design of laboratory experiments for method development, method validation, and operational process improvements for the laboratory and production environments, • Conduct peer-to-peer training on laboratory methods and processes, new documents, and document revisions What we want you to have: • B.S. in Chemistry, Chemical Engineering, or closely related field, • Minimum one year experience working in an analytical chemistry laboratory with three years of industry experience preferred, • Experience working in a regulated industry and familiarity with quality lab operations and quality systems such as ISO 17025 or ISO 9001 desired, • Experience with physical testing instruments such as an analytical balance, refractometer, densitometer, viscometer, sieves, convection ovens, etc., and have performed sensory analysis of samples from various matrices, • Experience operating, maintaining and troubleshooting HPLC, GC, IC, pH, FTIR, etc. and have experience preparing standards and QC samples, • Experience with Quality Management Systems, Laboratory Information Management Systems, and SAP, • Excellent verbal, written, and digital skills, including the ability to work effectively with Microsoft Excel and Word; excellent attention to details required, • Strong leadership skills and can work independently or collaboratively as part of a cross-functional team, • Ability to plan, prioritize, and execute work activities to ensure completion of testing requirements, • You are willing and able to spend most of the workday standing, climbing steps, ladders, and to lift samples or equipment weighing up to 50 pounds The starting salary is based on but not limited to experience, knowledge, and qualifications in determining compensation decisions. The Salary Range for this position is: $80,800.00 - $118,750.00. Why You'll Love Building Your Career at Altria At Altria, we believe a great career starts with feeling supported both at work and in life. Here's what you'll find here: Own your time start with 15 days of paid time off, 13 paid holidays, 2 floating holiday days, and a 37.5-hour workweek so you can recharge and live fully. A place where you belong where your ideas are welcomed, your growth is encouraged, and your impact is real. Get recognized for your work annual merit increases and performance bonus. A future you can count on 401(k) matching from day one; plus Deferred Profit Sharing, an annual company contribution in an amount equal to 13%17% of your base salary. Help with your goals get help with student loan repayment assistance, attend a conference, or gain a new certification with professional development stipends. Support for what matters most comprehensive medical, dental, and vision coverage for you and your family. Celebrating your milestones paid parental and bonding leave for life's biggest moments. Wellness that goes beyond work programs that care for your whole well-being at whatever stage you are in your life. A culture that gives back paid volunteer days and a shared commitment to making a difference. At Altria, we offer more than benefits we offer a career that fits your life, rewards your ambition, and celebrates your impact. This position is not eligible for sponsorship. Altria is a Fortune 500 company that has a leading portfolio of products for U.S. adult tobacco and nicotine consumers 21+. For decades we've been leaders in the tobacco industry, but the industry is evolving - and so are we. Our Vision is Moving Beyond Smoking. At Altria, we celebrate the power of diverse teams working together to shape our future. Each Altria company is an equal opportunity employer. We are committed to providing individuals with criminal records, including formerly incarcerated individuals and individuals with conviction records, a fair chance at employment. Join us as we work together to shape a better future for adult tobacco consumers, our employees, and our shareholders.

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