Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Location: Remote (Northeast or mid-Atlantic region preferred) Job Overview This Scientist opportunity is for a flexible and self-motivated individual that is willing to learn and grow as part of a team while providing ecological expertise to projects within the Sediment and Risk Assessment (SRA) and Remediation (REM) service lines at EHS Support. As a Scientist, you will be joining a high-performance team of risk assessors, toxicologists, ecologists, scientists, and engineers that is focused on providing high-quality technical and strategic solutions to a variety of clients. Your primary responsibilities in the Scientist position will include assisting with development of ecological assessments, supporting and implementing field-based, environmental investigations, analyzing environmental data in support of investigation objectives, and engaging in technical writing to report findings for routine and complex scenarios under federal, state and international programs. Essential Responsibilities - Support development of ecological assessments under federal, state, and international regulatory programs (including CERCLA and RCRA programs) - Develop site-specific conceptual exposure models to characterize constituent fate and transport dynamics and identify ecological receptors and complete exposure pathways. - Obtaining, organizing, reviewing, and synthesizing environmental data in an organized and concise manner. - Analyzing environmental data in support of investigation objectives and defined data quality objectives (DQOs) using Microsoft Excel, geographic information systems (GIS), or other programmatic software (e.g., R, Python). - Engaging in technical writing to report findings and interpretations of data analysis to support investigation objectives. - Communicating (both written and verbal) the findings of data analyses and interpretation to both lay and technical audiences. - Supporting the preparation of high-quality technical deliverables, reports, presentations, etc. - Planning and implementing field-based environmental investigations to collect surface water, sediment, pore water, soil, biological tissue, and/or biological community samples. - Documenting field observations and recording necessary data to support multi-media field programs. - Ensuring field work is conducted in accordance with relevant investigation work plans and in accordance with prescribed DQOs and standard operating procedures (SOPs). Specific Experience and Skills - 0 to 2 years of experience in consulting, with a focus in ecological assessment. - Commitment to a behavior-based safety culture - Ability to support the implementation of field investigations of surface water, sediment, pore water, soil, and biological communities - Experience analyzing environmental data, including robust understanding of Microsoft Excel (experience with R or other statistical software is preferred) - Excellent oral and written communication skills - Strong organizational skills and attention to detail and data quality - Proficiency or understanding of global positioning system (GPS) units (e.g., Trimble) and other field monitoring equipment (e.g., multi-parameter water quality monitors, data logging instrumentation) - Ability to think critically and conceptually about environmental data and develop statistical approaches to support project objectives - Proficiency in standard office software packages (e.g., Microsoft Word, Excel, Access, and PowerPoint) and statistical software packages (e.g., ProUCL, R) - Familiarity with geographic information systems (GIS) and software packages (e.g., ArcGIS) - An understanding of regulations and guidance for remedial investigations and risk assessment under state and federal programs (e.g., RCRA, CERCLA, Voluntary) - Ability to develop and maintain positive relationships with clients and co-workers Education and Licenses - Master’s in biology, chemistry, geochemistry, ecology, environmental science, or a related field. Benefits - Generous Vacation Policy - Health Benefits (medical, dental, vision) - 401k w/matching options - Short- & Long-Term Disability - Life Insurance - Sick Time - Bonus Opportunities Our Principles - Strive for excellence, always - Be open, honest, and direct - Assume good intentions - Trust coworkers, leadership, and clients - Listen to learn - Be accountable for our work - Foster teamwork - Demonstrate integrity - Take pride in one’s work - Live your personal values - Provide a safe and health work environment that promotes wellness - Have fun! EHS Support is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Overview This Project Scientist opportunity is for a flexible and self-motivated individual that is willing to learn and grow as part of a team while providing environmental assessment expertise to projects within the Sediment and Risk Assessment (SRA) and Remediation (REM) service lines at EHS Support. As a Project Scientist, you will be joining a high-performance team of risk assessors, toxicologists, ecologists, scientists, and engineers that is focused on providing high-quality technical and strategic solutions to a variety of clients. Your primary responsibilities in the Project Scientist position will include leading multi-media environmental investigations for routine and complex scenarios under federal and state programs. You will also be responsible for managing a team of talented professionals and providing mentorship to junior team members. Essential Responsibilities - Plan and lead field-based investigations of multiple environmental media (e.g., surface water, sediment, soil, and biological communities/tissue) in various aquatic and terrestrial systems with an emphasis on sediment investigation. - Ensure field programs are conducted in accordance with investigation work plans, data quality objectives, and standard operating procedures. - Lead analysis of environmental data in support of investigation objectives using Microsoft Excel and statistical software (e.g., R). - Prepare high-quality technical deliverables and presentations for effective communication of investigation findings. - Support development of ecological risk assessments under federal and state regulatory programs, including Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) and Resource Conservation and Recovery Act (RCRA). - Mentor and upskill junior team members. Specific Experience and Skills - 5+ years of experience in consulting and sediment investigation. - Commitment to a behavior-based safety culture. - Proven field leadership skills, with experience in mentoring and developing staff. - Strong knowledge of field instrumentation and monitoring equipment. - Excellent written and verbal communication skills. - Strong analytical and problem-solving abilities. - Familiarity with regulations and guidance for remedial investigation and risk assessment under state and federal programs (e.g., RCRA, CERCLA). - Exceptional interpersonal skills. Education and Licenses - Master’s degree in biology, chemistry, ecology, environmental science, natural resources, toxicology or a related field. Benefits - Generous Vacation Policy - Health Benefits (medical, dental, vision) - 401k w/matching options - Short- & Long-Term Disability - Life Insurance - Sick Time - Bonus Opportunities Our Principles - Strive for excellence, always - Be open, honest, and direct - Assume good intentions - Trust coworkers, leadership, and clients - Listen to learn - Be accountable for our work - Foster teamwork - Demonstrate integrity - Take pride in one’s work - Live your personal values - Provide a safe and health work environment that promotes wellness - Have fun! EEO Statement EEO Statement: EHS Support is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Post Doc – Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Position Overview - Tasks & Responsibilities: The Computer Vision team at Johnson & Johnson Innovative Medicine is seeking an outstanding postdoctoral researcher for application of advanced AI/ML methods to microscopic images of clinical and preclinical histopathology. The ideal candidate is knowledgeable, self-motivated, and creatively inclined with strong interest and extensive experience in computer vision, deep learning, and medical image analysis. The position will focus on application and refinement of J&J’s deep learning algorithm portfolio to quantitate histopathology, in addition to implementation of novel state of the art techniques. These innovative technologies improve our understanding of cellular organization and tissue structure, ultimately enhancing clinical trial efficacy and efficiency. This position offers the opportunity to work within a cross-functional team in a pharmaceutical environment. In addition to gaining technical exposure through the various projects the team is undertaking, you will also gain valuable insights into how robust and scalable algorithms are developed to support clinical trials, under the mentorship of experienced scientists, while contributing to initiatives aimed at improving global health.  Key Responsibilities:  - Conceive, design, develop, implement and validate innovative computer vision solutions addressing high-priority challenges in microscopy.  - Collaborate closely both with internal and external cross-functional teams of scientists, engineers, and clinicians, to advance algorithm and product development to improve project outcomes.  - Shape internal and external collaborations and define scope of research questions - Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making.  - Extract insight from complex, unstructured microscopy images to improve drug discovery and healthcare (e.g., disease identification, patient stratification, disease insights, therapy response). - Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community.  Qualifications - Ph.D. degree completed with in 2-3yrs, or Ph.D. candidate with a confirmed defense date within 3 - 4 months. in a field related to deep learning, such as computer science, physics, mathematics, applied mathematics, computer science/artificial intelligence, or related engineering disciplines. Equivalent experience will also be considered.  - Strong publication record with the ability to effectively communicate technical work to a broad audience. Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NEURIPS are preferred but not mandatory.  - Demonstrated deep experience researching and applying state-of-the-art computer vision techniques (e.g., Transformers, CNNs, RNNs, GANs, foundation models /self-supervision, panoptic segmentation, weakly supervised learning, few/zero-shot learning, etc) - Demonstrated experience in classical machine learning methods such as random forests, SVMs, etc. - Extensive experience applying, extending, and optimizing traditional image processing mathematics and methods (edge detection, thresholding, color transformations, morphological processing, etc) - Experience with microscopy images such as histopathology, confocal, or fluorescence microscopy. - Strong proficiency in Python and a related deep learning library (tensorflow, pytorch). - Fluent in English. - Strong communication & interpersonal skills. - Ability to work in a matrix organization and participate effectively both independently and as part of multiple teams. - Capacity to work under strict timelines. Preferred Experience - Experience with multimodal AI. - Familiarity with drug discovery and clinical development processes. - Experience working closely with healthcare professionals. - Experience with meaningful disease biology in oncology, immunology, neuroscience, cardiovascular, or infectious disease. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-remote #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : $79,000.00 - $127,650.00 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.  Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).  Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.