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Our client is a leading manufacturer specializing in the creation of high-quality ingredients and custom formulations for the beverage and pharmaceutical industries. They are currently looking to add a Senior Scientist (Product Innovation/Beverages) to their team. Salary/Hourly Rate: $110k - $120k Annually (Based on relevant experience) Position Overview: This on-site role offers the opportunity to lead technical innovation, manage cross-functional collaboration, and bring new beverage formulations from concept to commercialization. The ideal candidate for the Senior Scientist (Product Innovation/Beverages) role will have strong knowledge of dairy/plant-based beverage processes. Responsibilities of the Senior Scientist (Product Innovation/Beverages): • Lead product development of dairy and plant-based beverages, from concept through commercialization, ensuring products meet taste, texture, quality, and cost goals., • Formulate and scale beverage recipes using innovative flavors, functional ingredients, and processing techniques., • Troubleshoot and test formulations through bench testing, stability trials, and sensory evaluations to ensure performance and compliance., • Mentor and train junior scientists and technicians, imparting technical expertise and best practices., • Collaborate cross-functionally with R&D, quality, regulatory, and commercial teams to align goals and meet project deadlines., • Vet and qualify ingredients, including new or alternative materials, for use in finished products., • Maintain lab operations, including equipment, supplies, and documentation, in accordance with safety and quality standards., • Support scale-up efforts at pilot and production levels, with occasional domestic and international travel. Required Experience/Skills for the Senior Scientist (Product Innovation/Beverages):, • 10+ years of product development experience in the food and beverage industry, ideally in a formulation-focused or protein beverage environment., • Strong understanding of food science principles, beverage processing techniques, and functional ingredient interactions., • Familiarity with Good Manufacturing Practices (GMPs), regulatory guidelines, and food safety standards., • Experience leading and mentoring junior technical staff. Preferred Experience/Skills for the Senior Scientist (Product Innovation/Beverages):, • 10+ years of product development experience in the beverage industry., • Formulation experience from concept through commercialization, ensuring products meet taste, texture, quality, and cost goals. Education Requirements:, • Bachelor's degree in Food Science, Chemistry, or a related field is required., • Master's degree is preferred. Benefits:, • Medical, dental, and vision., • PTO., • 401(K) and many more! By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy . As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation. EOE/M/F/D/V/SO Position ID: 157818

Job Description Join our Data Science team as an Actuarial Data Scientist where you'll architect end-to-end data applications. This role resides on the Data Science team, and you will collaborate closely with the Actuarial team. This person will build data products for actuarial users, and also build actuarial modeling into data products for underwriting, claims, and other users. Additionally, this person will work closely with actuaries, empowering them with tools to streamline and improve their current processes, as well as building new ones. This role bridges sophisticated Python-powered Databricks data processing with engaging Python-driven Streamlit visualizations, offering a unique opportunity to revolutionize how insurance metrics become actionable intelligence. Minimum Qualifications: • Demonstrated knowledge of insurance business fundamentals and their implementation in data systems., • Proficiency in Python programming with experience applying these skills to data processing, analysis, and visualization (ie. Pandas, Plotly)., • Proven ability to maintain high standards of precision in both front-end applications and back-end data pipelines, with excellent troubleshooting and debugging skills., • Demonstrate exceptional ability to distill complex technical concepts into powerful, action-oriented executive summaries that drive decisive business action, with proven experience communicating data insights to both technical and non-technical decision-makers., • Actuarial exam progress (especially CAS Exam 5) preferred., • Hands-on ML experience in an insurance context preferred., • Understand current state actuarial processes throughout the company performed today in SQL and Excel. Build data applications to automate current processes. Innovate to build new and better solutions, unifying best practices in actuarial science, modern data science, and technology., • We have many analyses that use actuarial assumptions. Validate these assumptions and ensure general actuarial soundness throughout our pipelines and analyses., • Build and enhance Python data pipelines to clean and validate data, and to transform the data through actuarial modeling. Implement robust data validation protocols to ensure integrity of the data and accuracy of the calculations and models., • Design and maintain intuitive user-facing dashboards that transform complex data into accessible visualizations, connecting back-end data to interactive front-end reporting tools for stakeholders., • Drive end-to-end system reliability and last-mile validation through rigorous testing methodologies and efficient bug resolution, applying meticulous attention to detail across both Streamlit interfaces and data pipelines while spending significant time troubleshooting complex issues to ensure seamless operation of all analytics tools., • Collaborate directly with stakeholders to understand needs, build requirements, gather feedback iteratively, and present findings. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. #LI-Onsite

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as a Geologist: • Collect soil, water, air, and/or building material samples., • Gather, analyze, and interpret data., • Write technical reports and proposals., • BS in Geology, Hydrogeology, Environmental Science, or related field, • 2+ years of experience with environmental field sampling and data collection, • Experience with local NJDEP, NYDEC, and/or PADEP regulations., • Strong technical writing and communication skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices., • Demonstrated proficiency with field procedures., • Generate data of known quality and appropriate field notes., • Ability to be successfully trained on a wide variety of project types., • Implement and complete tasks in a timely manner and within budget communicated by manager., • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation (driving personal vehicle) is required., • Strong communication skills., • BS in Geology, Hydrogeology, Environmental Science, or other related field, • 4-6 years of experience with environmental field sampling and data collection, • Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices, • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation are required., • Strong communication skills., • Proficiency with Microsoft Office suite. Why you'll love working for us: • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 1,800+ employee national firm with 50+ locations across the US. Apex Job Title: Scientist 2 Req ID: 10823 Annual Expected Pay Range$65,000—$85,000 USD We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as an Environmental Scientist: • Collect soil, water, air, and/or building material samples., • Gather, analyze, and interpret data., • Write technical reports and proposals., • BS in Geology, Hydrogeology, Environmental Science, or related field, • 2+ years of experience with environmental field sampling and data collection, • Experience with local NJDEP, NYDEC, and/or PADEP regulations., • Strong technical writing and communication skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices., • Demonstrated proficiency with field procedures., • Generate data of known quality and appropriate field notes., • Ability to be successfully trained on a wide variety of project types., • Implement and complete tasks in a timely manner and within budget communicated by manager., • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation (driving personal vehicle) is required., • Strong communication skills., • BS in Geology, Hydrogeology, Environmental Science, or other related field, • 4-6 years of experience with environmental field sampling and data collection, • Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices, • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation are required., • Strong communication skills., • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 1,800+ employee national firm with 50+ locations across the US. Apex Job Title: Scientist 2 Req ID: 10823 Annual Expected Pay Range$65,000—$85,000 USD We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description This is a remote position. SR DATA SCIENTIST Duration: 12+ months What problem are we trying to solve: • The Senior Data Scientist will support our organization's data-driven initiatives by providing insights, developing predictive models, and driving data-centric decision-making across various business domains., • This role will act as the primary contact for advanced analytics projects, collaborating with cross-functional teams to extract valuable insights from complex datasets. Tech Stack • Embedded within product development teams. Responsibilities include: • Building and evaluating models., • Refining business-defined measures and metrics., • Supporting dynamic and creative approaches to data science., • Tech environment: AWS, Python preferred (other languages possible), avoiding excessive language spread. Hard Requirements: Technical Skills: Common Technologies/Tools: Programming Languages: Python, R, SQL Data Visualization Tools: Tableau, Power BI, DataDog Version Control Systems: Git, GitHub Project Management Tools: Jira, Confluence Cloud Platforms: AWS, Azure, Google Cloud Platform Data Warehousing: Redshift, BigQuery, Snowflake Soft Skills: • Advanced Statistical Analysis and Modeling, • Proficiency in statistical methods and machine learning algorithms., • Experience with predictive modeling and forecasting. Programming and Scripting: • Strong programming skills in Python or R., • Proficient in SQL for database querying., • Data Visualization and Storytelling, • Ability to create compelling visualizations to communicate insights., • Experience with data visualization tools like Tableau, Power BI, or DataDog., • Problem-Solving and Critical Thinking, • Strong analytical skills to tackle complex business challenges., • Ability to think strategically and provide data-driven recommendations., • Communication and Collaboration, • Excellent verbal and written communication skills., • Ability to work effectively in cross-functional teams., • Knowledge of Software Development Lifecycle ( SDLC ), • Understanding of best practices in software and data pipeline development. Requirements • 60%+ of this gig is building LLMs - and doing so from scratch. Hence the need for DS with, a) this expertise; and, b) have done so in a commercial setting [as opposed to academia when in a Research capacity]., • They need to have built the LLMs, built the pipelines, deployed 'em and managed/monitored 'em., • These LLMs must have had a quantifiable business impact which is demonstrable on the resume and in an interview., • Finally.....as for alGORITHM/MLexpertise, we need to find folks with the following: "... knowledge of statistics and have developed ML models like Random Forst, XGboost, Regression, and other classification and regression forecasting... " In summary....these DS roles are very similar to those of Toyota Connected. Guys who can do it all - interface and gather Clients from stakeholders, build the models, deploy, manage and utilize. They won't get much in the way of technical or business direction - they will be self-sufficient and the ones who drive the insights, "Look what I found.... " bus. They CANNOT be the types who just sit at their desk crunching numbers, publishing reports and onto the next. They need to be on the front foot and pushing the boundaries.

Job Description Position: Lead Data Scientist Company Overview: Direct Recruit Agency is a leading recruitment agency that specializes in placing top talent in various industries. Our mission is to connect exceptional candidates with the best companies, providing them with the opportunity to grow and thrive in their careers. Job Summary: We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As the Lead Data Scientist, you will be responsible for leveraging VertexAI to lead the design, development, deployment, and governance of machine learning models that power and optimize our risk underwriting to achieve business objectives. You will work closely with our clients to understand their business needs and develop data-driven strategies to help them achieve their goals. Key Responsibilities: • Design, develop, and deploy models that are used for risk underwriting, risk management, limit setting, pricing, and customer acquisition and engagement optimization., • Analyze diverse datasets, including but not limited to credit bureau, customer behavior, and alternative data, to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation., • Lead and mentor a team of data scientists and analysts, providing guidance and support., • Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy., • Implement and maintain scalable machine learning pipelines and workflows on Google Cloud Platform, ensuring reliability, scalability, and efficiency., • Leverage Google Dataflow to process large-scale data and build scalable data processing pipelines., • Evaluate model performance and govern deployed models using appropriate metrics, techniques, and scalable automated methods., • Maintain model documentation and perform ongoing refits/retraining of existing models to ensure models are always at or near optimal performance and risks of degradation are avoided or managed., • Design experiments, measure, test, and conduct readouts to optimize and test the underwriting process, offers, and customer engagement., • Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues., • Contribute to developing best practices, standards, and documentation for machine learning processes and methodologies., • 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models, preferably with a background in consumer credit risk and the lending space., • 2+ years of experience leading and managing data scientists and/or data analysts., • Degree in Computer Science, Statistics, Mathematics, or a related field., • Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment., • Proficiency in data preprocessing, feature engineering, and model selection techniques to optimize performance., • Familiarity with Google Cloud Platform services, particularly VertexAI and Dataflow, for scalable data processing and model training., • Proficiency in SQL and at least one programming language for developing scalable and efficient machine learning solutions., • Understanding of credit risk models and methodologies., • Strong leadership, communication, and collaboration skills., • Ability to work effectively in a fast-paced, cross-functional environment., • Strong understanding of statistical analysis, hypothesis testing, and experiment design., • Experience using the Scala programming language for developing scalable and efficient machine learning solutions., • 2+ years of experience building and deploying models using Vertex AI., • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches If you are a highly motivated and skilled Data Scientist looking to lead a dynamic team and make a significant impact in the banking industry, we want to hear from you! Apply now at Direct Recruit Agency.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

🔬 Scientist – Biopharma Services Title Level Commensurate with Experience (Senior Associate Scientist II or Scientist I) 📍 Location: South Plainfield, NJ Admera Health is hiring a Scientist to join our Biopharma Services team in South Plainfield, NJ. This is a hands-on, lab-based role supporting high-impact research in genomics and next-generation sequencing (NGS). We are open to hiring at either the Senior Associate Scientist II or Scientist I level depending on your background. Title and responsibilities will align with your education, experience, and demonstrated capabilities. 🧬 About Admera Health Admera Health – Entering the ADvanced Molecular ERA Admera Health is a genomic and bioinformatics research services company supporting pharmaceutical and biotech clients from early discoveries through clinical research. Our areas of expertise include genomics, transcriptomics, epigenomics, and advanced bioinformatics. We specialize in working with challenging sample types, such as FFPE, single-cell, and low-input materials, and offer tailored solutions across a wide range of platforms. 🌟 Why Join Us? We’re proud of our innovative, energetic, and collaborative culture. Our values: • Innovation, • Accountability, • Customer focus, • Results orientation, • Team-driven success 🧪 What You’ll Be Doing • Perform molecular biology and NGS workflows (e.g., RNA-seq, WGS, WES), • Maintain accurate and thorough documentation of experiments and outcomes, • Collaborate cross-functionally with project managers and scientific teams, • Contribute to troubleshooting and continuous workflow improvement, • Ensure timely, high-quality project delivery in a fast-paced R&D environment 📈 Role Levels and Expectations 🔹 Senior Associate Scientist II • Execute experiments with guidance, • Participate in troubleshooting and basic protocol refinement, • Assist with documentation, data review, and internal communications, • Support project timelines and collaborate with teammates, • Independently design, troubleshoot, and optimize experiments, • Lead training and mentoring of junior staff on techniques, documentation, and SOPs, • Contribute to or lead workflow development and process innovation, • Present results to internal stakeholders and clients, • Serve as a technical resource across departments 🎓 Qualifications • M.S. or Ph.D. in Biological Sciences or a related field, • For Senior Associate Scientist II: Typically 2–3 years of hands-on lab experience, • For Scientist I: Typically 5+ years of lab experience or a Ph.D. with industry exposure, • Strong background in molecular biology techniques (e.g., PCR, cloning, sequence analysis), • Experience with NGS platforms (e.g., Illumina) strongly preferred, • Excellent documentation, communication, and organizational skills, • Experience in research-focused or biopharma service environments preferred 💵 Compensation • Salary Range Starting at: $70,000 annually (commensurate with experience and qualifications), • Bonus Eligibility: Performance-based discretionary bonus, • Comprehensive health, dental, vision, and retirement benefits, • Paid time off and holiday schedule, • Ongoing professional development support 🌐 How to Apply For more information, please visit . To review and apply to our open positions, visit: 🤝 Equal Opportunity Employer Statement Admera Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Job Title: Scientist Duration: 12 Months Location: Rahway, NJ 07065 Note: Must be able to travel between Rahway, NJ site and West Point, PA site as needed. Travel up to 50% may be required. Base location is Rahway, NJ. Manager confirmed mileage reimbursement for travel when needed to attend the West Point, PA location. If other expenses are accrued due to travel to the alternate site location, they would need to be discussed with the manager prior to approval 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.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our