• Perform quick analyses and ad-hoc studies to support strategic decisions, addressing specific requests from different areas of the company; • Manage and implement end-to-end, low-complexity data projects, ensuring effectiveness and innovation; • Actively participate in medium-complexity projects, executing tasks with autonomy and analytical precision; • Collaborate on high-complexity projects, providing technical expertise and creative solutions under senior supervision; • Develop classification and regression algorithms, and build models to identify non-linear relationships between variables; • Understand and apply neural networks in appropriate contexts; • Create and maintain technical and business documentation, as well as presentations related to data activities; • Promote a data-driven culture across teams, acting as a data evangelist.

Role Description Dr. Berg Nutritionals is building a new line of clean-label food products — crackers, spice blends, dressings, dry goods, and more — sourced from our own greenhouse and formulated without grains, seed oils, refined sugars, or artificial ingredients. The challenge is not just making healthy food; it's making healthy food that people actually prefer over junk food alternatives. We want the same crunch, the same mouthfeel, the same flavor satisfaction — built from ingredients we stand behind. We're looking for a Sensory & Formulation Food Scientist who understands the mechanics of why conventional food is addictive and can reverse-engineer those qualities using clean, whole-food ingredients. This is the person who takes a concept from Dr. Berg's kitchen to a shelf-stable, scalable, commercially viable product without compromising quality. Job Duties & Responsibilities - Product Development & Formulation - Develop and iterate on clean-label formulations for crackers, spice blends, dressings, dry goods, and other product categories as they emerge. - Engineer texture, mouthfeel, and crunch to match or exceed conventional competitors — using no grains, no seed oils, no refined sugars, and no artificial additives. - Build flavor systems and seasoning blends that deliver the same reward and satisfaction as commercial products, using real herbs, spices, and whole-food ingredients (many sourced from our greenhouse). - Prototype rapidly. Test internally. Iterate based on feedback. Move from concept to shelf-ready formulation. - Sensory Science & Consumer Experience - Apply sensory science principles to product design: taste, aroma, texture, appearance, and the overall eating experience. - Design and run internal tasting panels and feedback loops to evaluate products before they go to market. - Understand why junk food works — salt/fat/sugar layering, crunch mechanics, mouth-coating, flavor release timing — and replicate those dynamics with clean ingredients. - Ingredient Sourcing & Scaling - Work with our greenhouse team and sourcing partners to identify and qualify ingredients that meet Dr. Berg's standards. - Ensure formulations are scalable from test kitchen to co-packer production without quality loss. - Manage water activity, shelf stability, packaging requirements, and any regulatory or labeling needs for finished products. - Collaboration & Knowledge Transfer - Work directly with Dr. Berg to translate his nutritional philosophy into product specifications. - Collaborate with marketing and content teams to provide technical backing for product claims, ingredient stories, and educational content. - Document all formulations, processes, and test results so the product line can scale beyond a single person. Qualifications - Degree in Food Science, Food Technology, Sensory Science, or a closely related field (UC Davis, Cornell, Rutgers, Cal Poly, or equivalent programs). - 3+ years of hands-on R&D experience developing consumer food products, ideally in clean-label, better-for-you, or functional food categories. - Deep understanding of texture engineering — how to achieve crunch, snap, chew, and creaminess through ingredient selection and process design. - Working knowledge of flavor chemistry: how seasoning blends, fat carriers, acid balance, and Maillard reactions interact to create satisfying flavor profiles. - Experience taking a product from bench-top prototype through co-packer production and commercial launch. - Comfort working in a fast-moving, founder-led environment where speed and iteration matter more than corporate process. Preferred - Experience at a clean-label CPG brand (Primal Kitchen, Hu Kitchen, Siete Foods, Simple Mills, RXBAR, Base Culture, or similar). - Formal sensory science training or experience running consumer panels and sensory evaluations. - Knowledge of grain-free, keto-friendly, or low-carb formulation constraints. - Background in spice blending, dressing/sauce formulation, or dry goods (not just baked goods). - Understanding of health-claim compliance (FDA, FTC) as it relates to food labeling and marketing. Compensation - Rate: $50 - $110/hour, based on experience and scope of engagement - Location: Fully remote within the United States - Type: Independent Contractor - Hours: Flexible; specific commitment to be defined based on project scope - Hiring eligibility: We are not currently engaging contractors based outside the U.S. - Applicants must be able to ship products easily and quickly within the U.S.

Role Description DOE’s Office of Environmental Management Graduate Fellowship Program is seeking graduate fellows to work on some of the nation’s greatest cleanup efforts. The successful candidate will join other postdocs and graduate fellows as part of the Minority Serving Institutions Partnership Program (MSIPP). MSIPP is funded by the Department of Energy Office of Environmental Management (DOE-EM). The selected candidate will work on projects related to environmental data processing, analysis methods, statistical modeling, data visualizations, and AI tool development. - Work with a wide range of types and formats of environmental data spanning geophysics, groundwater chemistry, water levels, remote sensing, etc. to condition and analyze data to identify trends and insights to support environmental remediation decision-making. - Apply statistical, machine learning, and artificial intelligence approaches and methods to develop insights to the remediation process or tools that can guide the remediation process. - Manage and organize large datasets to maintain data integrity and accessibility, meeting data validation and quality assurance objectives. - Collaborate with environmental/chemistry experts, engineers, software developers, and data scientists to understand specific project goals and execute on project/task delivery. Qualifications - Minimum Qualifications: - Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. - Minimum GPA of 3.0 is required. - Preferred Qualifications: - Degree in Data Science, with education (Minor or certificate) related to statistical analysis/modeling. - Proficiency in math/data analytics and data science (e.g., statistics, Artificial Intelligence/Machine Learning), including analysis using Tableau. - Coding experience with Python, JavaScript, and SQL (R or VBA are a bonus). - Experience with Amazon Web Services cloud computing, including serverless and AI services. - Ability to work collaboratively in team settings, along with excellent verbal and written communication skills. - Experience with data/software quality assurance programs (e.g., NQA-1). - Strong familiarity with and interest in cleanup/environmental management and associated challenges. Requirements - This position involves access to sensitive systems and information. U.S. Citizenship is required. - Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. Benefits - Medical insurance - Dental insurance - Vision insurance - Robust telehealth care options - Several mental health benefits - Free wellness coaching - Health savings account - Flexible spending accounts - Basic life insurance - Disability insurance* - Employee assistance program - Business travel insurance - Tuition assistance - Relocation - Backup childcare - Legal benefits - Supplemental parental bonding leave - Surrogacy and adoption assistance - Fertility support - Employees may accrue up to 120 vacation hours per year - Employees may receive ten paid holidays per year

Role Description To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Clinical Data Managers for our Toronto/Markham, Ontario, Canada on-site location, or remotely from a home-based office anywhere in Canada in accordance with our Work from Home policy. Key Accountabilities: - Lead Data Management Activities, Perform Training and Client Relationship Management - Develop and maintain Data Management Project Plan (Plan). Document deviations from the Plan, log and report issues, and follow up on their resolutions. - Is the primary contact person for day to day data management activities, and is the person ultimately responsible for all data management deliverables for assigned projects. - Is the primary contact person for communication and discussion of topics related to data management timelines and deliverables; request for out of scope tasks; first line contact for technical or procedural issues. - Is responsible for planning and implementing data management timelines and deliverables; and is responsible for providing database and data management activities status reports; contributes to the overall project planning, progress tracking and reporting. - Assist with study-level resource planning and management, including the review of team members’ timesheet reports. - Assist in performing client relationship management activities. Participate in project bid defense meeting when required. - Perform training on electronic data capture (EDC) system, dataflow and quality control processes to clinical trial personnel. - Provide training to new data management personnel on data management processes and procedures. Perform QC review of work performed by less experienced data management personnel. - Assist in generation of project Work Orders and Amendments. - Assist in management of dataflow from and performance of Third Party Vendors (Non-CRF data vendors). - Participate in project kick off meeting, investigators meeting, and regular project management team meeting. - Provide support to client audits and regulatory inspections. Follow up on audit findings. - Create and maintain clinical trial Data Management Study Binders. Perform Hands-on Data Management Activities - Design and review case report forms (CRFs/eCRFs). Develop and review Case Report Form Completion Instructions. Generate and review annotated Case Report Forms. - Design and review Clinical Trial Source Document templates and completion instructions when required. - Develop and maintain data validation specifications. - Develop and maintain Data Management Plan (DMP). Document deviations from the DMP. - Participate in the database design process. Participate in EDC User Acceptance Testing (UAT). - Manage the process of database modifications (after go-live) due to protocol amendments or study needs. - Develop and maintain Data Quality Review Plan (DQRP). Coordinate with programmers to complete the programming and validation of the listings and summary tables as specified in the DQRP. - Perform Third Party non-CRF data management activities. - Review data, issue and resolve queries. Assist Investigative Site personnel with resolving queries. - Perform Serious Adverse Event reconciliation. - Assist in resolving medical coding discrepancies resulting from coding of medical history, adverse events, procedures and medicinal products. - Cooperate and assist the Quality Assurance Department with quality control audits on assigned databases. - Perform database soft-lock and hard lock activities. - Maintain and prepare final archival of data management documentation relevant to the assigned clinical trials, and assist the corporate archivist in assembling and archiving such documentation. Qualifications - A Bachelors’ or Master’s degree in health and/or pharmaceutical sciences, physical/biological, or chemistry fields. - At least 5 years of experience in pharmaceutical clinical trial data management or at least 2 years of experience as a Clinical Data Manager II, with demonstrated knowledge, experience and ability to perform to meet high quality standards and high level of customer satisfaction. - Demonstrated an in-depth understanding of clinical trial data management concepts, processes and procedures, relevant issues related to or impacting clinical data management, as well as pharmaceutical clinical trial regulations, industry guidance, conventions and standards. - Demonstrated a strong leadership in clinical data management activities and a desire to excel in leading data management projects. Benefits - Robust benefits package to support your health, well-being, and growth, including medical, dental, and vision coverage. - Life & AD&D insurance. - Short- and long-term disability. - Tuition reimbursement. - Fitness reimbursement. - Employee assistance program (EAP). - Pension plan. - Generous paid time off and sick leave. - Opportunity to earn a performance-based bonus. Company Description Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients’ needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that’s us…that’s Everest.