Senior principal scientist jobs in West New York, NJ

Title: Bioanalytical Senior Scientist Duration: 12+ months(Extendable) Pay Range: $45 -$53 per hour on W2. NOTES: Must be able to travel between Rahway, NJ site and West Point, PA site as needed. Travel up to 50% may be required. Qualifications: Minimum Educational Requirement: • Ph.D. degree in chemistry, biochemistry or related scientific discipline with 3 years of industrial experience, or Master of Science degree in chemistry, biochemistry or related scientific discipline with at least 7 years of industrial experience, preferably in a bioanalytical laboratory. Required Experience and Skills: • Experience in developing, validating and implementing ligand binding assays under GLP. • Possess excellent written and verbal communication skills. • Experience in Watson or other LIMS systems. • Proficiency with Microsoft Office products. Preferred Experience and Skills: • Highly motivated individual with the aspiration to learn and develop himself/herself. • Experience in LC-MS/MS assay. Responsibilities: Seeking a motivated individual to work as a senior bioanalytical bench scientist within its Good Laboratory Practices (GLP) bioanalytical laboratory. This is a bioanalytical senior scientist position with primary duties in performing laboratory work, preparing reports, and interacting with internal and external partners. This position is a part of the Bioanalytical group, Global Preclinical Development, based in Rahway, New Jersey. Main responsibilities include: • Independently developing, optimizing and troubleshooting LBA methods to support projects with method quality and efficiency in mind; writing bioanalytical methods; assumption of project responsibility in delegated bioanalytical aspects. • Proficiently and independently implementing ligand binding assays (LBA) for the analysis of biological samples in a GLP environment, with duties inclusive of, but not limited to, sample preparation, setting up instruments, processing, and interpreting data; solving issues encountered during method implementation independently. • Establishing LBA capability within the team including equipment purchasing, setting up lab and LBA workflow. • Ensuring that all documentations are in real time, accurate and compliant with current GLP and departmental guidelines. • Preparing reports (sample analysis and validation) independently; Assembling all documents for regulatory submissions; Compliance with and maintenance of required training for company and departmental SOPs, safety-related guidance and other guidelines as relevant/applicable. • Adherence to short term goals, objectives and timelines agreed upon with management, via working independently (e.g., with little to no management oversite in this regard). • Interaction with partners in other functional lines, such as Drug Safety and Metabolism, Quality Assurance, and program management. • Any relevant/applicable additional BA assignments as directed by management. • Ability to multi-task and be a team player.

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role The RDA Process Scientist performs research and development work with an operations focus which bridges the gap between RD&A Taste Innovation and KERRY's commercialization process. He/she will focus on process optimizations, scale-ups, solving regulatory and other hurdles to new products and technologies introductions. He/she will collaborate with other scientists (especially Taste Innovation team), engineers, maintenance, QC, sanitation, etc. Key responsibilities Work closely with Taste Innovation team to develop and scale up taste modulation products Focus on solving the regulatory hurdles Liaising with cross functional teams: engineering, research, technical, QC, sanitation, maintenance, and/or production staff, regulatory, procurement, etc. Planning, organizing, and overseeing process or production trials Suggests improvements or modifications to current processes Generates ideas for new products and researches feasibility in terms of profitability, resource availability and compliance with regulations. Adheres to Standard Operating Procedures (SOPs) and Cleaning In Place (CIP) Keeps recording data log (flow rate, pressure, temperature, etc) and analyzing data Writes and reads technical papers, reports, reviews, and specifications. Qualifications and skills Bachelor's or Master's in food process science, food engineering, agricultural science, engineering, material science or related science fields. Experience in a food production environment or industrial laboratory Experience with upscaling of food manufacturing processes is a plus: moving from lab scale to industrial scale. Knowledge of good manufacturing practice Problem-solving skills, analytical skills, and attention to detail Strong communication and interpersonal skills, able to work effectively as part of a team. Excellent analytical, organizational, and multi-tasking skills. The pay range for this position is $107,757 to $181,563 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Jan 30th, 2026. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at: Know Your Rights: Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a “starter kit,” investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.

PRIMARY FUNCTION Associate Director/Director plays a key role as clinical technical lead on global Phase I-III and other clinical pharmacology centric projects Serves as a team member supporting multiple facets of Clinical Pharmacology, including study design, PK and PK/PD analyses, and overall drug development support. This position is also the scientific and medical/clinical liaison between internal teams and external groups such as clinical operations, vendors (CROs, central laboratories, etc.), investigators, medical monitors, regulatory authorities, medical affairs, commercial, Key Opinion Leaders, Advisory Boards The candidate will have an excellent knowledge of Clinical Pharmacology principles, such as PK, PK/PD, drug metabolism, drug-drug interactions, PBPK, PopPK modeling and E-R analysis. Provides peer-reviewed interpretation of clinical pharmacology data and incorporates appropriate analyses into reports required for regulatory submissions MAJOR RESPONSIBILITIES AND DUTIES Accountable and responsible for the Clinical Pharmacology support for the HUTCHMED global portfolio Provide scientific insights that drive global clinical development decisions and support global regulatory submissions Responsible for ensuring appropriate Clinical Pharmacology representation on drug/ dosage form development and clinical teams and provision of PK/PD expertise and leadership to a project The incumbent will complete assigned work in a resourceful, self-sufficient manner and will be able to create alternative approaches to achieve desired results if needed Responsible for ensuring planning and direction of Clinical Pharmacology components of clinical programs (including clinical development plan/life cycle plan) and studies (including synopsis and protocol preparation; clinical phase oversight, reporting) Responsible for ensuring leadership of multifunctional study team to design, deliver and report the assigned clinical pharmacology studies and ensuring overall scientific accountability for the designated studies Responsible (with members of Clinicians and Statisticians) for ensuring appropriate dose-finding strategies during clinical drug development that will ensure optimal doses in first in human studies and dosage regimens in patients Responsible for summarizing and interpreting results of pharmacokinetic, pharmacodynamic analyses with respect to their impact on development and clinical use of drugs During the pre-clinical stages of drug development, works with Drug Discovery team to ensure that sufficient preclinical PK/PD knowledge exists to support progression into first in man studies Accountable for ensuring that there are valid methods for measuring drug and metabolite concentrations (or any biochemical biomarkers) in human studies Coordinates with medical writers (and other team members) in the data review, analysis and reporting of the Clinical Pharmacology study Responsible, in conjunction with medical writer, for overall content and accuracy of study report before forwarding for final sign-off. Assist with internal and external dissemination of results to Development Team, Investigators etc. Provides recommendations for clinical doses and dosing algorithms (including drug interaction advice, food effects, special group dosing etc.) to the Clinical and Development teams and in regulatory documentation such as labeling Stays abreast of literature, government guidelines, internal guidance on clinical trial conduct including Good Clinical Practice and internal SOPs, regulations for specific projects to which assigned, in order to be a team resource of clinical pharmacology and therapeutics knowledge in terms of both medical background and clinical trial design Participates in multidisciplinary teams in assessing potential in-licensing opportunities, as requested by line management Acts as technical lead for specific development projects, Phase I/III and Clinical Pharmacology centric studies Manage and initiate external collaborations with leaders in clinical pharmacology and Key Opinion Leaders MINIMUM REQUIREMENTS PhD in clinical pharmacology, quantitative pharmacology, pharmacokinetics, or related field / MD/ PharmD preferred Biologics including monoclonal antibody, bispecific antibody, and antibody-drug conjugate experience is preferred Experiences in Oncology/Autoimmune disease field is preferred Proven expertise in pharmaceutical/biotech industry (8-15 years) with adequate knowledge in ICH guidelines, Good Clinical Practice applicable to Clinical Pharmacology Direct experience with clinical pharmacology summary documents required for Regulatory submissions Comprehensive understanding of worldwide clinical regulatory requirements with working knowledge of drug development process with a proven record in drug development from IND through regulatory submission and commercialization Experience in clinical development and new drug registration Mastery of statistics applied to clinical research Ability to work with pharmacometrician for PopPK modeling, E-R analysis, PBPK, and PK-PD modeling, and interpret the data to support the clinical development Good ability to interpret complex clinical data and experimental results Ability to develop network internally and externally to communicate in situations requiring special tact and diplomacy Self-motivated and self-disciplined individual with superb problem-solving and leadership skills Excellent English (writing and speaking) and excellent mastery of English medical terminology PREFERRED SKILLS AND EXPERIENCE: Knowledge of FDA, EMA and ICH guidelines and regulations Record of successful publications in the area of clinical pharmacology/pharmacometrics Comprehensive understanding of worldwide clinical regulatory requirements with working knowledge of drug development process with a proven record in drug development from IND through regulatory submission and commercialization. Prior direct interaction with regulatory agencies and advisory boards is required Candidate must demonstrate thorough understanding of principles of clinical pharmacology including clinical study design, analysis, and interpretation, and application of these approaches to drug development, guidelines in the design of clinical trials and development plans KEY COMPETENCIES: Ability to organize and work simultaneously on multiple projects Ability to work in a matrix, project-oriented environment Excellent written and oral communication skills, interpersonal/influencing skills, and ability to work in a continually changing environment Supports the success of a group being led by providing clarity, support and tools needed to excel as things change Maintains a functional, perspective and acts on the belief that solutions and plans are stronger when appropriate collaboration occurs across and beyond the organization Actively builds relationships and networks with others across and beyond HUTCHMED working constructively across organizational boundaries despite differences in interests, perspectives and need

About Us: At the Center for Food as Medicine and Longevity, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

Requisition ID 61042 Position Type (US) Full Time Workplace Arrangement #LI-Onsite About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role The RDA Process Scientist performs research and development work with an operations focus which bridges the gap between RD&A Taste Innovation and KERRY's commercialization process. He/she will focus on process optimizations, scale-ups, solving regulatory and other hurdles to new products and technologies introductions. He/she will collaborate with other scientists (especially Taste Innovation team), engineers, maintenance, QC, sanitation, etc. Key responsibilities * Work closely with Taste Innovation team to develop and scale up taste modulation products * Focus on solving the regulatory hurdles * Liaising with cross functional teams engineering, research, technical, QC, sanitation, maintenance, and/or production staff, regulatory, procurement, etc. * Planning, organizing, and overseeing process or production trials * Suggests improvements or modifications to current processes * Generates ideas for new products and researches feasibility in terms of profitability, resource availability and compliance with regulations. * Adheres to Standard Operating Procedures (SOPs) and Cleaning In Place (CIP) * Keeps recording data log (flow rate, pressure, temperature, etc) and analyzing data * Writes and reads technical papers, reports, reviews, and specifications. Qualifications and skills * Bachelor's or Master's in food process science, food engineering, agricultural science, engineering, material science or related science fields. * Experience in a food production environment or industrial laboratory Experience with upscaling of food manufacturing processes is a plus moving from lab scale to industrial scale. * Knowledge of good manufacturing practice * Problem-solving skills, analytical skills, and attention to detail * Strong communication and interpersonal skills, able to work effectively as part of a team. * Excellent analytical, organizational, and multi-tasking skills. The pay range for this position is $107,757 to $181,563 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Jan 30th, 2026. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at Know Your Rights Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter Posting Type DNI

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

& Sons: Schweid & Sons is a family-owned and operated premium ground beef company with a proud heritage spanning four generations. We supply top-quality beef to Retail, Foodservice, and National Account customers across the U.S. and are committed to quality, customer service, and innovation in protein manufacturing. Summary: Are you a creative and driven professional with a passion for developing innovative premium protein products? Schweid and Sons is looking for a Food Scientist to add to our team. Reporting to the Director of Innovation, you will lead innovation and product development projects and initiatives, formulation, process improvement, ingredient, recipe and nutritional development, and provide food science strategy and guidance to take the company into the future. This role focuses on developing, improving, and ensuring the safety and quality of premium protein products, from fresh cuts to processed meats. The ideal candidate will have an understanding of meat science, food safety regulations, and product development processes within the beef and other protein industries. To be successful in this role, you must have strong food science, product development experience in protein, ability to improve and build repeatable processes, experience in meat operations, and knowledge of regulatory requirements. You should be comfortable leading key projects, working independently to ensure deadlines are met while balancing priorities. This is an incredible opportunity to join a well-established food manufacturing company that prides itself on putting its team members first by providing an incredible culture, amazing benefits, and commitment to innovation. Job Functions /Responsibilities: * Manage innovation projects, communicate, and coordinate with internal stakeholders as well as customers. Research and develop new products, including raw, fresh, cooked, cured, and value-added items. * Improve existing products in terms of taste, texture, shelf life, yield, and nutritional profile. * Design and conduct experiments on meat formulations, marination, cooking processes, and preservation techniques. * Organize sensory panels and conduct rigorous product testing to ensure we deliver a great tasting product. * Ensure all products comply with USDA, FDA, HACCP, and company food safety standards. * Conduct shelf-life testing and sensory evaluations of beef products. * Analyze raw materials and finished products for microbial, chemical, and physical properties. * Collaborate with procurement, QA, production, and marketing teams to bring new products to market. * Monitor trends in meat science, consumer preferences and processing technologies. * Prepare responses to customer inquiries with adequate scientific and technical evidence and provide solutions. * Complete the verification of the implementation of standard operating procedures for the laboratory or kitchen facilities. * Responsible for maintaining accurate records of formulations, procedures, and processes in appropriate software systems and platforms. Qualifications / Experience: * Bachelor's degree in Food Science or related field or equivalent experience. * USDA, FDA, HACCP and SQF experience. * 3 - 5 + years of Food Science in the protein category required. * 2 + years related protein experience required, preference for beef experience. * Food/nutrition manufacturing experience required. * Fundamental understanding of regulatory compliance and nutritional calculation software. * Understanding of daily lab and production processes. Expertise in raw material handling and stability. * Ability to independently formulate products based on consumer and customer requirements, identifying potential issues and promptly alerting managers or customers. Experience in food concept development and prototype improvement. * Some culinary and recipe development experience is a plus. * Able to effectively analyze data to develop presentations and reports. * Must be proficient in the use of Microsoft Office (Excel, Outlook, Word, and PowerPoint). What We Offer * The expected compensation for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process. * Time Off: PTO, Safe & Sick Time, and Paid Holidays. * Health Benefits: Medical, vision, dental, HRA and voluntary disability benefits. * Financial Benefits: 401(k) + employer match and life insurance. * Location: This is an on-site role located in either East Rutherford, NJ or College Park, GA. * Environment: Office environment.

Arxada is a global leader in microbial control, committed to solving the world's toughest preservation challenges through cutting-edge science. We aim to help our customers develop more sustainable solutions that protect and maintain the health and wellbeing of people, extend the life of vital infrastructure, and work to reduce ours and our customers' ecological footprint. We are seeking a Data Scientist with a strong background in chemistry or biological sciences to support our R&D team's artificial intelligence platform development. The successful candidate will be responsible for transforming complex microbiological data into a standardized digital format, and building dashboards to interact with the data, with suitability for artificial intelligence platform usage. Role Summary We are seeking an AI scientist who can collaborate closely with a data scientist to design, build, and deploy AI/ML modules that accelerate biocide formulation development, improve predictive decision-making (e.g., stability, efficacy, compatibility), and shorten lab iteration cycles. This role sits at the intersection of formulation chemistry/microbiology, experimental design, and data/AI-driven R&D. You will own end-to-end problem framing, data readiness (with LIMS/ELN), model-user requirements, and lab validation of AI outputs-turning models into actionable tools for bench scientists. Key Responsibilities AI/ML Module Co-Development Convert business/scientific questions into model requirements (e.g., predict stability phase separation, viscosity drift, microbial kill under specific conditions, raw-material compatibility, cost/COGS optimization). Specify and prioritize features/inputs (formulation composition, physical-chemical properties, process parameters, storage conditions, raw-material attributes). Partner on model selection & validation (regression/classification, Bayesian optimization, active learning, multi-objective optimization). Define acceptance criteria (accuracy, applicability domain, explainability). Lead lab validation loops: design confirmatory experiments, refine datasets, and iterate with the data scientist. Work with Data Scientists to generate high-quality datasets for model training/validation. Define and develop code to utilize LLMs to optimize for target product profiles (efficacy, stability, cost-in-use, sensory, compatibility, sustainability constraints). Translate lab findings into mechanistic and statistical insights that inform model features and constraints. Support deployment of user-facing tools (dashboards, notebooks, apps); ensure interpretability and ease of adoption. Data Readiness & Governance Define metadata schemas for formulations, processes, and test methods; ensure data lineage and versioning. Collaborate with IT/data engineering on pipelines from ELN/LIMS to analytics platforms (e.g., Azure ML/Databricks/Power BI). Cross-Functional Influence & Change Management Train and coach bench scientists on using AI tools in everyday formulation work. Create clear communication artifacts (model cards, SOPs, one-pagers, and decision trees). Drive efficiency where AI can eliminate iterations, reduce time-to-lab, and de-risk scale-up. Minimum Qualifications MS/PhD in Chemical Engineering, Chemistry, Materials Science, Pharmaceutical Sciences, or related; or BS with 7+ years relevant experience. 3-5+ years in formulation development (biocides, preservatives, antimicrobials, or adjacent fields such as HI&I, coatings, personal care, agrochemicals, pharmaceutical development). Strong experimental design/DoE and statistical analysis skills (JMP, Design-Expert, R, Python, or similar). Demonstrated experience collaborating with data scientists on predictive modeling and/or optimization projects. Proficiency with ELNs/LIMS and data hygiene-able to structure datasets for modeling and ensure reproducibility. Preferred Qualifications Cheminformatics/QSAR/QSPR familiarity (e.g., molecular descriptors, RDKit) and property estimation. Exposure to Bayesian optimization, active learning, or multi-objective optimization for formulations. Experience with model interpretability (SHAP/feature importance) and applicability domain. Hands-on experience with Azure ML, Databricks, or similar ML platforms; dashboarding with Power BI / other. Background in chemistry Knowledge of sustainability-by-design (biobased actives, VOC limits, hazard/risk assessment). Core Competencies Scientific Rigor & Problem Framing: Converts vague needs into testable hypotheses and model-ready requirements. Data Literacy: Interprets model metrics, understands overfitting, and knows when to trust vs. test. Collaboration & Influence: Bridges R&D, Regulatory, Data Science, and Operations. Execution & Ownership: Bias to action; closes the loop from model insight to validated lab outcome. Adaptability & Learning Agility: Comfort with rapid iteration and evolving toolchains. The expected salary range for this role is 55.000$ - 70.000$, but specific employee compensation may vary depending on factors including experience, education, training, licensure, certification, location and other job-related, non-discriminatory factors permitted by law. This role is also eligible to earn a short-term incentive bonus and the following benefits: 401(k) plan, medical, dental, vision, life, and disability insurance, paid time off, paid holidays and paid sick leave. US01

Scientist, Post Market Safety & Cosmetovigilance Research & Innovation Department: Post Market Safety Responsibilities: • Prioritization of workload for US OTC/Medical Devices (MD) & Hospital visit cases, data entry, MedDRA coding and completion of case narratives of incoming potential Health Related Complaints (HRCs) into the Post-marketing Safety (PMS) database while ensuring completeness and legibility. • Reconciliation of daily cases received from Consumer Care Center (CCC), identify missing cases, correct errors in the Salesforce database & notify CCC manager of discrepancies. • Provide feedback using discretion regarding database issues or with case details that are documented by CCC and communicate database discrepancies. • Support PMS team members with projects regarding completion of cases with missing data or formula numbers as needed and serve as a backup for preparing statistical reports. • Perform data extractions for global PMS analyses and validate data. • Provide ongoing training/feedback of operating tools coordinating with colleagues in France to ensure accuracy. • Provide prompt queries of vendors database to review all AEs received, notify appropriate partner contacts, review for potential quality-related complaints, notification of manufacturing sites, while maintaining appropriate recording and archiving of information. • Conduct database and data entry training of PMS newcomers within the Americas zone. • Ensure documentation management of departmental work files, including organization of department training documents, Quality Investigations, and maintenance of FDA correspondence. • Review/update standard operating procedures (SOP) and work processes (WP) as needed. • Participate in department presentations to CCC or other métiers. • Ensures compliance with company policies, procedures, and standards. • Ensuring prioritization of data entry workload (OTC/Hospital/MD cases), data exploitation/validation working with colleagues in Global Data Management, ensure department document retention, while working with other Sr. Scientists, Vigilance Coordinators & Head of Post-Marketing Safety. To Succeed in this Position, You Have: • A completed BS or MS in biology or a related field preferred with case processing experience & relevant data exploitation experience in pharmacovigilance. • Minimum of 3-5 years of relevant experience. • Experience in MedDRA coding preferred. • Basic understanding of US Regulations pertaining to Post Marketing Safety preferred. • Knowledge of medical terminology preferred. • Excellent communication (verbal, written) and interpersonal skills required. • Well organized while handling multiple projects simultaneously. • Demonstrated skills in analyzing, reporting, and documenting information with strong attention to detail. • Ability to work independently with minimum supervision in a matrix environment. EEO and ADA Statement: Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at: ******************************** Screening questions: Do you now or in the future require sponsorship (e.g. H-1B)? Y/N

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. **Job responsibilities** + Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning + Collaborate with internal and external researchers and with applied engineering teams + Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research + Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals + Participate in relevant top-tier academic conferences to broaden the impact of your contributions **Required qualifications, capabilities, and skills** + PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field + Research publications in prominent AI venues; e.g., conferences, journals + Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, ... + Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series reasoning and foundational models) + Proficiency with rapid prototyping and disciplined software development processes + Expertise in software engineering within collaborative project settings **Preferred qualifications, capabilities, and skills** + Extensive programming skills in Python (required), Java or C++ (optional) + Interest in problems related to the financial services domain (specific past experience in the domain is not required) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** New York,NY $128,250.00 - $195,000.00 / year

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • The individual will perform complex synthesis and purification of biomolecules and derivatives as well as conduct characterization assays. • The individual is also expected to participate in team meetings, provide update and contribute to planning activities to achieve program deliverables. • Interaction with other groups/departments is expected. • Bench level experience with protein purification, synthetic organic chemistry and/or protein isolation, purification is expected. Qualifications BS Additional Information For more information, please contact Akriti Gupta ************** Morristown, NJ 07960

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities Conduct end-to-end research typically within Natural Language Processing (NLP) Collaborate with internal and external researchers and with applied engineering teams Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science or related field or a MS with at least 3 years of experience in the field Research publications in prominent NLP venues; e.g., conferences, journals Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. Proficiency with rapid prototyping and disciplined software development processes Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills Extensive programming skills in Python, Java or C++ Interest in problems related to the financial services domain (specific past experience in the domain is not required)

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • ********************************************************************************************************************************** • **************************************************************************** • ************************************************************************************************************************ Key job responsibilities As an Applied Scientist, your day-to-day responsibilities will include: Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team. Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the team Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs). - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts. You can expect to: Design and implement state-of-the-art machine learning techniques to advance Layer Health's research agenda (in areas such as information extraction, multimodal reasoning, and summarization). Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. Collaborate with the broader engineering team to ship performant products that meet user needs. Cultivate and foster a robust and thoughtful R&D culture that drives the company forward. We look for: Exceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. High-impact, early-author publications at top peer-reviewed ML journals/conferences. Demonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations. Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax). Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques). A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Past experience in healthcare of life sciences is a plus, but not required. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Join us and help us transform healthcare with AI.

Teleskope is building the future of data security. Despite enormous growth in awareness and investment in data security, most companies still don't know where they are storing sensitive information and how to secure it. At Teleskope, we're building a modern and developer-friendly data security platform to automate data security and privacy at scale, from detection to remediation. About the role Teleskope is looking for an Applied NLP Scientist to play a critical role in the evolution of our remediation engine, which powers our data security and privacy platform. In this role, you will lead the development of agentic NLP systems that don't just detect risks in unstructured data but take proactive remediation and compliance actions directly within the Teleskope platform. You will design and build intelligent agents that operate across diverse enterprise data modalities (e.g., unstructured text, documents, tables, images), unifying extraction, prediction, and decision-making into action-oriented pipelines. This role involves working with massive datasets and building production-grade ML infrastructure that supports fast, reliable, and scalable inference for real-time remediation. This is a high-impact, in-office role based in NYC where you'll collaborate across engineering, product, and customer-facing teams to bring remediation-focused AI agents to life. What you'll do Own and evolve the Teleskope remediation and classification pipeline across multiple data modalities (e.g., text, documents, tables, images). Build and maintain agentic systems that unify information extraction with automated action-taking workflows. Apply modern NLP and LLM-based techniques for classification, clustering, summarization, and agent-driven decision-making. Define and build processes for evaluation, validation, and continuous monitoring of models and agents. Collaborate with product and engineering teams to integrate AI-driven remediation agents into customer-facing workflows. Stay on top of research and best practices in applied NLP, LLMs, and agentic architectures, contributing to the evolution of our ML stack. What you bring 4+ years of experience in applied NLP. Demonstrated success building and deploying LLM pipelines, agentic systems, or applied NLP models in production. Experience across the ML lifecycle: data preprocessing, model training, evaluation, and deployment. Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, or related field-or equivalent experience. Excellent communication and collaboration skills. Must be based in New York City-this is an in-office role. What you'll get An opportunity to join an early stage startup in one of today's fastest growing markets Space to build impactful features and own projects from start to finish Room to learn, grow, and rapidly advance in your data scientist career A beautiful, well-stocked office in NYC's Financial District Competitive salary and meaningful equity Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope What we value At Teleskope, we value technical excellence, practical execution, and a strong sense of ownership. We're looking for team members who bring domain expertise and a passion for shipping impactful ML solutions that meet real-world privacy and security needs.

Job DescriptionCareer Renew is recruiting for one of its clients an ML Scientist - Crypto - this is a fully onsite role for New York or London based candidates. Salary range: 250-300K USD yearly plus benefits. What You'll Do As a Machine Learning Scientist, you'll be instrumental in leveraging AI and machine learning techniques to shape the future of our platforms and beyond. You'll work alongside world-class engineers and product teams to drive the development of sophisticated algorithms that power features like personalization, recommendations, search, and real-time decision-making. Design and develop machine learning models to improve the platform's user experience, enhance predictive capabilities, and drive smarter interactions. Help building scalable data pipelines and leverage large datasets to create actionable insights that inform product development. Help developing and optimising machine learning infrastructure, ensuring our systems are scalable, efficient, and ready for production-level data and model deployment. Work closely with product teams to integrate machine learning models into the platform, ensuring seamless performance and real-time data processing. Monitor, optimise, and iterate on deployed models, ensuring they perform effectively in a live environment and adapt to evolving user needs. Collaborate with engineers and data scientists to tackle unique challenges, ensuring our platform can handle large-scale, decentralised data processing. Stay at the forefront of machine learning research and development, continuously bringing new insights and techniques to the table. Who You Are An experienced Machine Learning Scientist with a strong foundation in algorithms, data structures, or statistical modelling. Proficient in Python Hands-on experience in deploying models in production is desirable. Experience in maintaining machine learning infrastructure, including model deployment pipelines, model monitoring, and scaling systems for large datasets is a plus. Familiar with working in a high-performance, fast-paced environment, ideally with experience in high-growth startups or scaling tech companies. Passionate about leveraging machine learning to create real-world impact, with a keen interest in blockchain, crypto, and SocialFi technologies A problem solver who thrives on tackling complex challenges, willing to dive into new technologies and contribute to the future of decentralised applications. Highly collaborative, with the ability to communicate technical concepts to both engineers and non-technical stakeholders effectively. High-agency and ownership-driven, capable of leading projects end-to-end with minimal guidance. Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection, ship now, iterate later Ownership over bureaucracy -every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we Compensation & Package Base Salary + Tokens/Equity

Scientist II, Immuno-Oncology FUNCTIONAL AREA: REPORTS TO: Team Leader EXEMPT/NON-EXEMPT In the Immuno-Oncology team, we are looking for an enthusiastic, inventive and team-oriented scientist to join us in the creation cutting-edge cellular treatments for cancer and other serious diseases. We are looking for colleagues with a strong background in one or multiple areas including: Immuno-Oncology, Oncology or Immunology, and who possess strong expertise in T-cell biology, intricate multicolor flow cytometry, and in vivo mouse models. The ideal candidate would have a remarkable scientific record, excellent communication and interpersonal abilities, be passionate about scientific research, and excel at pushing boundaries for innovation. We value candidates who are adept at problem-solving and approach difficulties with optimism. The chosen individual will join a dynamic, creative and goal-oriented atmosphere dedicated to making impactful advances in the way we treat disease. Responsibilities Responsibilities include, but are not limited to: Develop innovative adoptive cell therapies to treat cancer or other serious diseases. Design, execute, and analyze in vitro experiments (some examples include engineering of CAR T-cells, cytotox, ELISA, proliferation assays, flow cytometry analysis, cell culture). Design, execute and analyze in vivo preclinical studies (some examples of procedures include tumor implantation, adoptive cell therapy administration, mice dosing through different administration routes, tumor monitoring, blood collection and multiple tissue analysis). Efficiently and clearly present and communicate scientific data to the team, cross-functionally and at external meetings. Pro-actively suggest and evaluate innovative cell engineering solutions and develop new assays to enhance the company's intellectual portfolio and contribute to peer-reviewed publications. Stay up to date with external scientific research from academic and industry institutions. Keep timely detailed documentation of experiments. Effectively plan and manage projects and deliverables to meet deadlines. Foster cross-functional collaborations and train other colleagues. Prioritize company objectives and work towards shared success. Other duties as necessary to ensure the daily operations of the lab and support the team. Core Competencies Keen eye for detail, exceptional problem-solving abilities, and a commitment to producing robust and high-quality scientific data for internal/external reports, publications and IND-enabling studies Strong scientific creativity and analytical thinking skills. Curiosity and drive to initiate and advance programs to treat diverse important diseases. Excellent written, oral and interpersonal communication skills. Capable of adhering to SOP and develop new protocols. Works well autonomously and collaboratively with other team members and cross-functionally. Flexibility and ability to adapt positively to a dynamic environment with changing priorities. Pro-active, transparent and adaptable team-player with a professional demeanor who works well under pressure. Comfortable operating in a fast-paced, small-midsized company environment. Requirements PhD in oncology, immunology, or equivalent (minimum of 3 years of experience after PhD in related role). Experience in human T-cell biology, immuno-oncology and knowledge in cell engineering technologies. Hands on experience and troubleshooting proficiency in immunology assays including immune cell isolation, multicolor flow cytometry, immune cell and cytokine profiling assays using conventional and next-generation analytical methods. Demonstrated experience designing and executing mouse tumor model experiments including mouse handling (injections- IV, SC, IP- and organ dissection). Excellent abilities to analyze and synthesize data for different audiences and report types while supporting decision-making processes. Proficiency in molecular biology as well as analyzing and manipulating DNA/protein sequences using bioinformatics software is desired. Basic knowledge of gene editing and next-generation sequencing technologies is a plus. Experience in working in matrixed environments and in project management is desired. Strong record of scientific publications and demonstrated scientific curiosity. Willingness to quickly adapt, innovate, discover new approaches, collaborate and support the team towards shared company goals. Candidates should be authorized to work in the U.S., preferably without the need for current, or future, sponsorship. Role is onsite and based in New York, NY Physical Requirements Sedentary - primarily involves sitting and/or standing. Laboratory work performed within a BSL1 and BSL2 environments. Communicates with others daily to exchange information. Salary Range (105,000 to 115,000 USD), dependent on skills and experience

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generating ideas for new molecules Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry Build and optimize scalable infrastructure for model training, deployment, and monitoring Engage directly with our scientific users, incorporating their feedback into the product Contribute meaningfully to product strategy and company direction Who you are: You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud You are excited to dive deep into the science and practice of drug discovery You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.