Research scientist jobs in Maine - 98 jobs

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**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46455** **The deadline to apply to this position is [1/16/2026]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46455

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Join Our Discovery Team as a Discovery Associate Scientist Are you the kind of scientist who can't stop asking “why” and “what if”? Do you get excited about trying new techniques, optimizing protocols, and uncovering data that can push a project in a fresh direction? Do you learn from failures in the lab? If so, this Discovery Associate Scientist role may be the perfect next step in your career. We seek a team member driven to impact patient lives through precision quality controls who thrive in a culture of respect, open communication, and innovation where every voice matters. About the Role As a Discovery Associate Scientist, you will be at the bench every day, supporting early-stage molecular biology and molecular diagnostics projects. You will work side-by-side with Discovery Scientists, running experiments, testing new ideas, and helping turn early concepts into real technologies. This is a hands-on role for someone who loves the lab and wants to grow by learning new methods, taking initiative, and contributing ideas. What We're Looking For B.S. in biology, molecular biology, biochemistry, chemistry, or a related field with experience in Molecular Biology research. Hands-on experience with core molecular biology techniques (pipetting, reagent prep, amplification, electrophoresis, and nucleic acid extraction) from coursework and research lab experience, internships, or prior work. Innate curiosity, coupled with the drive and initiative needed to satisfy it. A team-oriented attitude, strong communication skills, and enthusiasm for learning from and collaborating with experienced scientists. Strong attention to detail, careful documentation habits, and the ability to follow SOPs while also helping refine them. Comfortable using basic software tools (e.g., Excel or equivalent) for data handling and simple calculations. What You'll Do Perform a wide range of molecular biology techniques (e.g., buffer and reagent prep, nucleic acid extraction, plasmid prep, in vitro transcription, PCR/qPCR/dPCR, and related techniques) to support feasibility and exploratory projects. Run carefully designed experiments under the direction of Discovery Scientists, record your work in detail, and help organize, interpret, present data so the team can quickly decide on next steps. Learn and adopt new technologies and protocols as the Discovery group evaluates innovative tools and methods. Contribute to daily lab operations, including reagent prep, routine laboratory cleaning, dishes, and chores, inventory management, and basic equipment checks, keeping the Discovery lab running smoothly. Why You'll Love Working Here You will learn rapidly by working closely with senior Discovery Scientists on cutting-edge molecular projects. You will be encouraged to ask questions, propose new ideas, and develop new capabilities. You will see how early-stage discovery work evolves into the development of useful products and technologies that impact molecular diagnostics and patient care. You will join a collaborative, energetic team that values curiosity, initiative, and scientific rigor. If you are a hands-on scientist who wants to grow, experiment, and help shape new molecular solutions from the ground up, we want to hear from you. Apply now and bring your curiosity to the Discovery lab. Benefits We Offer: • Medical insurance • Dental insurance • 401(k) • Profit Sharing Plan • Vacation • Holidays • Sick leave Get to know the MMQCI team! ********************************************************************* Maine Molecular Quality Controls, Inc. (MMQCI) designs, develops, manufactures, and markets unique quality control products used by hospital laboratories to monitor the accuracy of tests for inherited disease, pharmacogenetics, oncology, and infectious diseases. MMQCI has developed technologies to stabilize DNA and RNA for use as quality controls and continues to pursue the discovery of novel techniques useful for the development of new quality control products. MMQCI is conveniently located in beautiful southern coastal Maine, minutes from the Maine Turnpike, Portland International Jetport, and less than 2 hours from Boston. Close by are fabulous Portland restaurants, sandy beaches, and a plentiful supply of Maine lobsters! Many terrific outdoor activities are easily accessible including hiking, biking, kayaking, fishing, skiing and snowshoeing. We're in a state-of-the-art facility, located in Saco, right next to the Eastern Trail. Come join us!

Are you looking to build your career in environmental fieldwork and permitting with a company that values collaboration, professional growth, and work-life balance? Join Haley Ward, a 100% employee-owned, multidisciplinary firm named one of the Best Places to Work in Maine and one of the Best Firms to Work For in the country! AND, as an added benefit, we will offer you a $2,500 signing bonus. About Haley Ward At Haley Ward, our 300+ employee-owners provide environmental, engineering, and architectural services across the Northeast. We believe in teamwork, mentoring, and professional development, and we take pride in delivering high-quality, practical solutions for our clients. What We Offer $2,500 Signing Bonus Employee Stock Ownership Plan (ESOP) you ll be an owner! Competitive salary and benefits package, including health, dental, and vision insurance 401(k) with company match and Roth option Paid time off and 11 holidays Company-paid life and disability insurance Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Health Reimbursement Arrangement (HRA) options Culture that values mentorship, flexibility, and volunteerism What You ll Do We are seeking a motivated Natural Resources Scientist to join our Environmental Team. This position will support senior permitting specialists and project managers with field investigations, data collection, and environmental documentation for permitting and compliance projects. Typical Responsibilities Conduct wetland delineations, vernal pool surveys, and wildlife and habitat assessments. Assist with soil evaluations, vegetation inventories, and hydrology observations. Collect and organize field data using GPS and mobile data collection tools. Prepare field forms, maps, and technical figures to support environmental reports and permit applications. Support preparation of Maine Department of Environmental Protection (MDEP), Maine Land Use Planning Commission (LUPC), Natural Resources Protection Act (NRPA), and U.S. Army Corps of Engineers (USACE) permit applications. Collaborate with multidisciplinary teams on environmental and infrastructure projects. Maintain accurate field records and contribute to project documentation. Note: Approximately 50% of work is conducted in the field, varying with project requirements, with the balance of time in an office setting. What You ll Bring Bachelor s degree in Environmental Science, Ecology, Natural Resources, Biology, or related field. 5+ years of field experience in wetlands, wildlife, or environmental science. Familiarity with state and federal environmental permitting preferred. Strong field identification skills for vegetation, soils, and hydrology indicators. Proficiency with GPS data collection and Microsoft Office; GIS or AutoCAD skills a plus. Excellent written and verbal communication. Ability to work independently outdoors and as part of a team. Valid driver s license and satisfactory driving record. Location: Saco, ME reliable commute or relocation required Haley Ward is proud to be an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, disability, or veteran status.

JOB TITLE: Postdoctoral Research Associate in Biological Oceanography SUPERVISOR: Dr. Jérôme Pinti Pay Grade: 7 Starting Salary Range: $64,000-$69,000 The Gulf of Maine Research Institute (GMRI) develops and delivers collaborative solutions to global ocean challenges. We are dedicated to the resilience of the Gulf of Maine ecosystem and the communities that depend on it. To learn more, visit gmri.org. GMRI is currently seeking applicants for a Postdoctoral Research Associate to join the Biological Oceanography Lab. The Postdoctoral Researcher will work under the supervision of Dr. Jérôme Pinti and collaborate with a team of scientists at GMRI and other institutions to examine the role of fish in the Biological Carbon Pump in the Gulf of Maine. Fish-mediated flux (i.e., respiration, fecal pellets, and carcasses) is now widely recognized to account for a substantial part of total carbon export (between 10 and 30% of the export, depending on regions). However, the magnitude and variability of these fluxes in the Gulf of Maine are still not well understood. Here, using a combination of lab measurements, field sampling, and numerical modeling, the Postdoctoral Research Associate will dive deeper into the role of forage fish fecal pellets in the Gulf of Maine (regional production, sinking speed, and degradation rates), to obtain estimates of fish-mediated gravitational export and its spatio-temporal variations. The successful candidate will have a background in marine ecology and/or biological oceanography, and a deep understanding of marine carbon cycling and biological processes. The candidate should have experience in numerical modeling and/or statistical analysis, should be able to work relatively independently, and must demonstrate a strong record of producing high-quality scientific manuscripts. The incumbent is encouraged to explore other projects and proposals in line with his interests and expertise, the interests of the Biological Oceanography Lab, and contributing to GMRI's Strategic Plan. The preferred start date is May 1, 2026 or earlier. The position will be located primarily at GMRI (************* in Portland, ME; occasional travel is anticipated for field work, meetings, or conferences. The initial appointment is for one year, renewable depending on availability of funding. Responsibilities: Perform research on the Biological Carbon Pump in the Gulf of Maine, aligned with the Biological Oceanography's goals and GMRI's Strategic Plan. Contribute to the effective operation of the Biological Oceanography Lab by assisting the Principal Investigator (Dr. Pinti) with research execution, project coordination, and laboratory responsibilities. Mentor an undergraduate summer intern during the summer. Taken part in field work and other activities of the Biological Oceanography Lab as appropriate. Contribute to and lead proposals to support later stages of research. Synthesize and share results in peer-reviewed scientific papers and at scientific conferences. Other General Responsibilities: Participate in project team meetings and workshops. Participate in lab and GMRI staff meetings and activities. Requirements Required Qualifications: Ph.D. in a relevant discipline, such as biological oceanography, marine ecology, fisheries biology, fisheries ecology, applied mathematics, statistics, or another field that demonstrates a strong quantitative background (e.g., modeling, spatial statistics, time-series analysis). Experience with field work including sampling techniques (e.g., zooplankton or fish sampling), small boat operation, and the ability to work off hours and in variable conditions as needed. Demonstrated experience and fluency in relevant programming languages (e.g., R). Strong written and oral communication skills, as evidenced through publications in the peer reviewed scientific literature and presentation of results to a variety of audiences. Demonstrated ability to work independently and as part of a collaborative team. Eligible to work in the United States. Other Preferred Qualifications: Experience working on the Biological Carbon Pump. Experience crafting grant proposals. Diversity and Inclusion: The Gulf of Maine Research Institute (GMRI) has a long-standing policy and commitment to providing equal access and equal employment opportunities in all terms, conditions, processes, and benefits of employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. GMRI's employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. Applicants and employees are encouraged to voluntarily provide certain status data to assist GMRI in fulfilling various reporting requirements of the federal government. This self-identification is completely voluntary, will be kept confidential and separate from your application data, and used only to meet certain state or federal reporting requirements. Providing or declining to provide this information will not result in adverse action of any kind. Salary and Benefits: Gulf of Maine Research Institute offers a competitive salary and benefits package. To Apply: All applications must be accompanied by a cover letter and résumé. Review of applications will begin immediately and will continue until the successful candidate has been selected. Questions about the job description can be addressed to Dr. Pinti, ***************. The deadline to submit applications is February 28th, 2026.

The Muskie School of Public Service at the University of Southern Maine (USM) is pleased to announce an opening for a full-time, Research Associate II position. The Research Associate II (RAII) carries out a full range of complex epidemiologic and surveillance activities, with a focus on Environmental and Occupational Health. This position is part of a team of USM epidemiologists and health communication specialists dedicated to building epidemiology and communication capacity at USM and the Maine CDC (the state's public health agency). The RAII provides epidemiology and subject matter expertise to state, federal, and local partners. The RAII, in partnership with Maine CDC staff and other USM staff, is responsible for developing, implementing and sustaining public health surveillance systems within the Maine CDC's Environmental Health Program (EHP); this includes assessing the burden and trends of environmental health-related outcomes, exposures, and risk factors in the general population and among sub-populations; and coordinating grant deliverables and reports and overseeing technical staff in the execution of grant activities. In addition, the RAII will lead and collaborate on epidemiologic studies with various Maine CDC programs and with partners in other state and federal agencies. The Muskie School of Public Service is Maine's distinguished public policy school, combining an extensive applied research and technical assistance portfolio with rigorous undergraduate and graduate degree and certificate programs in geography-anthropology; tourism and hospitality; policy, planning, and management (MPPM); and public health (MPH). The school is nationally recognized for applying innovative knowledge to critical issues in the fields of sustainable development and health and human service policy and management and is home to the Cutler Institute for Health and Social Policy. The Muskie School and Cutler Institute engage in cross-disciplinary opportunities through the University of Maine Graduate & Professional Center, which brings together programs in business, law, policy, and public health. This is a full-time position located on either our Portland Campus or Augusta location with a starting annual salary of $70,000. The University of Southern Maine offers highly competitive benefits for full-time and eligible part-time employees that includes (but is not limited to): 13 paid holidays plus earned vacation time and sick time. Health, dental and vision insurance. Low-cost short-term disability insurance and employer-paid long-term disability insurance. Employer-paid basic life insurance and supplemental life insurance. A tuition waiver program for employees and their spouse or dependent child(ren). A 403(b)-retirement plan with employer contribution. Free access to the METRO system, including the Husky Line with service between our Portland and Gorham campuses. To learn more, please review the Benefits Information Summary. The University of Southern Maine is a vibrant academic community located in the greater Portland, Maine area, including campuses in Portland, Gorham, Lewiston, and online. USM is part of the University of Maine System and offers a comprehensive array of undergraduate and graduate programs, emphasizing hands-on learning, community engagement, and interdisciplinary collaboration. With a highly engaged student-centered learning environment, USM is a steward of higher education, helping drive the economic, cultural, and civic life in the communities where our campuses are located and beyond. USM is committed to providing expanded access to high-quality education that elevates economic opportunity and contributes significantly to the vitality of a diverse society. To learn more about USM, visit About Our University. The University of Southern Maine fosters a welcoming and supportive campus environment that respects and appreciates varied perspectives, enhancing teaching, learning, personal growth, and overall institutional achievement. We welcome applications from candidates of all backgrounds who share our dedication to academic excellence and the enrichment of our community. We are dedicated to our Service Promise, Student Focused Every Day and seek a team member who embraces this commitment and upholds our core values of Respect & Care, Integrity, Equity, and Responsiveness. Required Qualifications: Master's degree in Epidemiology, Public Health or related field, preferably from an accredited school of public health, and a minimum of 6 years of epidemiologic-related work experience. Demonstrated mastery of principles of epidemiology and public health. Experience developing and implementing public health surveillance systems. Experience building partnerships and successfully collaborating with internal and external partners. Ability to identify the need for applied epidemiologic studies. Strong quantitative and qualitative research skills, including experience with major computer-based statistical packages, preferably SAS and/or R. How To Apply: Click on the ‘Apply Now' button below or visit our USM Careers Page and submit the following: Cover Letter Resume/Curriculum Vitae Finalist candidates will be asked to provide a list of the names and contact information for references. For full consideration please submit all required materials by November 30, 2025. We are not able to consider applicants who require Visa sponsorship support. Appropriate background screening will be conducted for the successful candidate. Clery Act: The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish, and distribute an Annual Security Report (ASR), and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. View the University's Annual Security Report (PDF). If you wish to have a paper copy of the ASR or need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact our Public Safety Office at ************. EEO Statement: The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling ************, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at ************************

Department: Electric Distribution Planning Manager: Manager, Distribution Planning Work Type: In Office is dependent upon experience and location ranging from $77k-$82k. Team Description: The Electric Distribution Planning team ensures the safe, efficient, and resilient performance of the distribution grid. Using CYME software and engineering best practices, the team performs comprehensive assessments-including voltage, thermal, and coordination studies-to evaluate system reliability and the integration of Distributed Energy Resources (DER). Working at the intersection of engineering analysis, system design, and strategic grid development, the team plays a critical role in modernizing and automating AVANGRID's distribution infrastructure. Job Summary: General responsibilities include, conducting detailed system studies such as voltage analysis, thermal ratings, and reliability assessments, including N-1 contingency evaluations. It requires evaluating complex distributed energy resource (DER) and customer load interconnections across various voltage levels, supporting System Impact Studies (SIS), and assisting in planning approvals. The position also includes contributing to substation and line design, developing budget estimates, and updating hosting capacity maps. Additional responsibilities include identifying system deficiencies, recommending automation solutions, monitoring project schedules, coordinating documentation, and using tools like CYME, GIS (ArcFM), SAP, and load data systems for analysis and modeling. Education & Experience Required: * Bachelor of Science Degree in Electrical Engineering * Less than 2 years of work experience Rotations: * Rotation 1 - Distribution Planning * Rotation 2 - Transmission Planning * Rotation 3 - Interconnection OR Protection & Controls Company: CENTRAL MAINE POWER CO Mobility Information Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law. If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at ********************. Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power. Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management. Job Posting End Date:

As an Associate Scientist I in Technical Manufacturing, you will be involved in the production of nanoparticle bioconjugations that are components of high quality veterinary diagnostic products. Your work will be performed by utilizing different chemistries to manipulate and prepare material to be coated on nanoparticles. Your focus of responsibility will be on the preparation of solutions and reagents by following standard protocols at the laboratory bench, as well as a BL2 suite, to support the production build plan. You will have the opportunity to cross train across multiple processes and participate on a technically focused team as an approach to support lab work and solve problems. You will communicate and present to colleagues. You will operate under 5S and Lean Manufacturing principles and ISO standards. You can make a difference by producing innovative products that keep people and animals healthy. Exceeding customer expectations is one of our guiding principles at IDEXX. Our credibility as a company relies on our ability to deliver quality products to our customers on time and with no disruption to their business. IDEXX's Worldwide Operations Team works to meet this challenge each day with a global network of distribution hubs and a focus on efficiency, regulatory compliance, and continuous improvement. PRIMARY DUTIES AND RESPONSIBILITIES: Produce coated microparticles and other rare reagents. Order and maintain equipment and work area. Use strong documentation skills to ensure records are filled out according to standard operating procedures. Accurately report data and labor to the inventory control system. Adhere to appropriate procedures and regulatory requirements. Operate within an ISO 9001:2008 / 14001:2004 Quality Management System. Partner with manufacturing staff and production or product support groups to recommend, investigate, and/or implement modification of existing reagents and processes to improve quality and production efficiency. Have opportunities to participate in continuous improvement initiatives. REQUIRED SKILLS AND ABILITIES: Bachelors degree or equivalent combination of education and experience required. Specific technical skills related to the applicable scientific specialty. Laboratory bench and instrumentation skills. Analytical and problem solving skills. Strong communication skills, both verbal and written. Ability to work independently and cooperatively as part of a team. Organizational skills and ability to plan work. Takes initiative and is accountable (shows ownership); focuses on task at hand; detail oriented. Adaptable. Ability to work well under pressure and handle the stress of deadlines. What you can expect from us: An annual salary target of $59,000K - $62,000 based on experience Opportunity for annual cash bonus Opportunity for performance based annual merit increase Health / Dental / Vision Benefits Day - One 5% matching 401k Generous PTO benefits Additional benefits including but not limited to pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more! Why IDEXX? We're proud of the work we do, because our work matters. Every role at IDEXX contributes to enhancing the health and wellbeing of pets, people, and livestock. With over 10,000 global team members, customers in over 175 countries, and a fast-growing industry - we're always looking for motivated and inspiring people to join us. We offer competitive compensation, incentives, and benefits. You'll be part of a double-digit growth company in a quickly growing market and we are leading the way forward with innovative products, services, and a strong focus on our customers. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. #LI-JH1

About the Opportunity Postdoctoral Research Associate - Human Data Interaction/Data Visualization - The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows with an interest in data visualization and statistical graphics to complement our multidisciplinary Human-Data Interaction research team. The primary focus of our work will be information visualization, data ethics, and statistical communication. We are also interested in investigating the rhetorical and communicative aspects of data communication. The candidate will lead projects around designing and evaluating data visualization techniques for communicating statistical information, especially uncertainty information, to wide audiences. Candidates will draw on expertise in data visualization and HCI, and employ skills in graphic design, mixed methods research, and scientific communication. Northeastern's Roux Institute offers an academic research environment combined with access to end-users who bring real-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and structured mentoring on topics including mentor/mentee research relationship, technology transfer, and proposal development. This fully funded position is renewable for up to two years pending satisfactory performance. Starting date is negotiable, beginning as early as December 2024. Compensation is competitive and includes benefits. This position is in Portland, Maine. Responsibilities: The postdoctoral fellow will perform basic or applied research of a limited scope, primarily using existing theories and methods, and they should have the ability and desire to innovate when these are insufficient. The fellow will assist the supervisor in the interpretation and publication of results and grants, maintains the laboratory research team, and may exercise functional supervision over supporting research staff. Primary responsibility is ensuring that the research is complete. Key responsibilities include: * Developing or contributing to a research program focused on aspects of data visualization pertinent to Roux Institute partners. * Assist in initiating, executing, and completing research and experiments. * Prepare and write research papers, presentations, grant proposals, and other research related activity. * Foster a safe, inclusive, welcoming, and collaborative environment. * Building strong ties with interdisciplinary collaborators and industry, nonprofit, or government partners and actively engaging these individuals in the research program. * Potential additional responsibilities, depending on position seniority, include assisting in laboratory management, graduate student training/advising, and co-op/intern student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing, information or data science, or psychology by the appointment start date. Candidates must demonstrate prior research experience in data visualization, graphical perception, or human-centered design. Successful candidates should be able to undertake substantially full-time research or scholarship and work under the supervision of a senior scholar. The successful candidate must demonstrate excellent interpersonal, verbal, and written communication skills, meticulous attention to detail, and proficiency in HCI research methodology, as well as quantitative and qualitative data analysis. Preference will be given to candidates with experience in interdisciplinary collaborations or a demonstrated potential for such collaborations, along with strong computational and analytical skills. An ideal candidate should possess experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R or Python. Lastly, candidates should have experience performing human subjects experiments. Application Material: * Curriculum Vitae with pointers to your research/expertise-related online profiles (e.g. online website or portfolio, Google Scholar, GitHub, Gitlab, Bitbucket, Kaggle, etc.) * Cover letter outlining research background and interests and emphasizing why you believe you are a strong fit for this position (1-page). * Research Statement that describes candidate's research philosophy and include a clearly articulated description of past research experience and research interests (1-2 pages). * References: Please provide the names of at least two mentors/supervisors or senior colleagues who will be able to provide (upon request) letters of recommendation. About The Roux Institute The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,423.00 - $83,934.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Bigelow Laboratory for Ocean Sciences invites applications for a Research Technician working with the Zooplankton Ecology Laboratory. This entry-level position will be responsible for working with the entire team to meet mission objectives and conduct research projects for which the lab is funded or contracted to execute. This is a full-time (37.5 hours/week) position with an ideal start date of Feb 1, 2026. Starting salary is $22.22/hour, with a generous benefits package including health care, retirement contribution, and paid time off. Minimum Qualifications: 1. Applicants must hold a BS in a field of biology or environmental sciences at the time of hire. Preference is for those with demonstrated knowledge of and experience with Zooplankton and image analysis. 2. Applicants must have strong oral and written communication skills. This includes, but is not limited to, ability to document daily activities; ability to keep accurate, clear and detailed records related to projects; ability to coordinate communication with multiple internal and external groups; and ability to follow clearly stated laboratory protocols. 3. Applicants must have a high level of self-confidence; the ability to independently gain new knowledge required for conducting their tasks thoroughly; and demonstrated strong organizational skills with superior attention to detail. 4. Applicants must have strong computer skills, and comfortability with using cloud-based software packages (e.g., G-suite, Eco-taxa and other platforms). 5. The position requires the ability to work both as an individual and as part of the lab, currently 3 staff members . The applicant must be self-motivated, have a high degree of integrity, and a strong work ethic. Responsibilities: ● Conduct projects for which the lab is funded/contracted. This task will require reasonable laboratory skills including the handling and maintenance of live zooplankton cultures and field sampling including long days on a boat. Familiarity with the flow Cam-Macro and image analysis software is a plus. While projects will change with the funding, examples of past projects include collecting, processing and analyzing samples (CHL, zooplankton and CTD data) from offshore sites. ● Conduct bench projects contracted to the lab such as culturing copepods, measuring respiration rates or calculating biomass from net tow samples. This task will require reasonable culturing skills and the ability to work with delicate sensors. ● Many students and interns pass through the lab. This position will involve working with students, helping them to set up experiments and general maintenance of the lab. The latter will require washing dishes and strong organizational skills Other Responsibilities/Requirements: o P● Position will likely involve exposure to information on proprietary research efforts and requires heightened sensitivities to intellectual property protections. ● Reporting any potential or perceived violations of applicable laws, rules, or Laboratory policies to the immediate supervisor, Executive Director, the Human Resources Director, or the Vice President for Research as appropriate. ● All employees at Bigelow must adhere to institutional policies and procedures as outlined in the Bigelow Laboratory for Ocean Sciences Handbook. SPECIAL RESPONSIBILITIES/REQUIREMENTS: The ordinary work schedule is a regular work day/week (7.5h/day, 37.5h/wk). The successful applicant will be required to be part of the “Boat Sampling” team. This requires the ability to be available for weather dependent boat trips with a few days' notice. Some weekend trips will be required. Apply Applicants must submit the following materials in one combined PDF to our online application portal: A one-page cover letter describing why you are interest in the position A detailed curriculum vitae or resume specifically highlighting experience related to the stated requirements Contact information for three references. For full consideration, the application should be received by 11:59 PM EDT Friday, January 23, 2026 . Review of applicants will begin immediately thereafter. The search will continue until the position is filled. Individuals seeking more information about this position or needing to request an accommodation, please contact [email protected] or **************, ext. 119. Working at Bigelow Laboratory Bigelow Laboratory is an inclusive community of scientists from around the world that welcomes and supports diverse opinions and cultures. Bigelow Laboratory for Ocean Sciences strives to maintain an environment that allows our employees to flourish through respectful, inclusive, and equitable treatment of others. We believe there is power in embracing the full diversity of humanity to advance science and are committed to supporting each other as individuals worthy of respect.

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Job DescriptionJoin Our Discovery Team as a Discovery Associate Scientist Are you the kind of scientist who can't stop asking “why” and “what if”? Do you get excited about trying new techniques, optimizing protocols, and uncovering data that can push a project in a fresh direction? Do you learn from failures in the lab? If so, this Discovery Associate Scientist role may be the perfect next step in your career. We seek a team member driven to impact patient lives through precision quality controls who thrive in a culture of respect, open communication, and innovation where every voice matters. About the Role As a Discovery Associate Scientist, you will be at the bench every day, supporting early-stage molecular biology and molecular diagnostics projects. You will work side-by-side with Discovery Scientists, running experiments, testing new ideas, and helping turn early concepts into real technologies. This is a hands-on role for someone who loves the lab and wants to grow by learning new methods, taking initiative, and contributing ideas. What We're Looking For B.S. in biology, molecular biology, biochemistry, chemistry, or a related field with experience in Molecular Biology research. Hands-on experience with core molecular biology techniques (pipetting, reagent prep, amplification, electrophoresis, and nucleic acid extraction) from coursework and research lab experience, internships, or prior work. Innate curiosity, coupled with the drive and initiative needed to satisfy it. A team-oriented attitude, strong communication skills, and enthusiasm for learning from and collaborating with experienced scientists. Strong attention to detail, careful documentation habits, and the ability to follow SOPs while also helping refine them. Comfortable using basic software tools (e.g., Excel or equivalent) for data handling and simple calculations. What You'll Do Perform a wide range of molecular biology techniques (e.g., buffer and reagent prep, nucleic acid extraction, plasmid prep, in vitro transcription, PCR/qPCR/dPCR, and related techniques) to support feasibility and exploratory projects. Run carefully designed experiments under the direction of Discovery Scientists, record your work in detail, and help organize, interpret, present data so the team can quickly decide on next steps. Learn and adopt new technologies and protocols as the Discovery group evaluates innovative tools and methods. Contribute to daily lab operations, including reagent prep, routine laboratory cleaning, dishes, and chores, inventory management, and basic equipment checks, keeping the Discovery lab running smoothly. Why You'll Love Working Here You will learn rapidly by working closely with senior Discovery Scientists on cutting-edge molecular projects. You will be encouraged to ask questions, propose new ideas, and develop new capabilities. You will see how early-stage discovery work evolves into the development of useful products and technologies that impact molecular diagnostics and patient care. You will join a collaborative, energetic team that values curiosity, initiative, and scientific rigor. If you are a hands-on scientist who wants to grow, experiment, and help shape new molecular solutions from the ground up, we want to hear from you. Apply now and bring your curiosity to the Discovery lab. Benefits We Offer: • Medical insurance • Dental insurance • 401(k) • Profit Sharing Plan • Vacation • Holidays • Sick leave Get to know the MMQCI team! ********************************************************************* Maine Molecular Quality Controls, Inc. (MMQCI) designs, develops, manufactures, and markets unique quality control products used by hospital laboratories to monitor the accuracy of tests for inherited disease, pharmacogenetics, oncology, and infectious diseases. MMQCI has developed technologies to stabilize DNA and RNA for use as quality controls and continues to pursue the discovery of novel techniques useful for the development of new quality control products. MMQCI is conveniently located in beautiful southern coastal Maine, minutes from the Maine Turnpike, Portland International Jetport, and less than 2 hours from Boston. Close by are fabulous Portland restaurants, sandy beaches, and a plentiful supply of Maine lobsters! Many terrific outdoor activities are easily accessible including hiking, biking, kayaking, fishing, skiing and snowshoeing. We're in a state-of-the-art facility, located in Saco, right next to the Eastern Trail. Come join us! Powered by JazzHR fDNtgelzL9

Job Title: Climate Adaptation Postdoctoral Research Associate Supervisor: Dr. Kathy Mills Starting Salary Range: $64,000-$70,000 The Gulf of Maine Research Institute (GMRI) develops and delivers collaborative solutions to global ocean challenges. We are dedicated to the resilience of the Gulf of Maine ecosystem and the communities that depend on it. To learn more, visit gmri.org. Position Description: GMRI is seeking a full-time Postdoctoral Research Associate to lead and collaborate on research related to climate adaptation in marine fisheries and fishing communities. The successful candidate will have strong interdisciplinary expertise and work across multiple existing projects to advance research, assessment, and planning related to the impacts and responses associated with climate change in marine fisheries and fishing communities. This role spans several active projects that focus on adaptation strategies in the context of shifting species distributions and changing population productivity, but broader issues (e.g., sea level rise, storm intensity) are relevant as well. Existing research is concentrated in the Northeast U. S., with international collaborative opportunities available on existing and planned projects. The successful candidate will have the ability to develop independent future research within climate adaptation and resilience topics in marine fisheries. The successful candidate will have an interdisciplinary background related to marine fisheries, with expertise in a social science discipline. The candidate should have experience conducting research in coupled social-ecological systems using qualitative social research methods and analytical approaches that are grounded in relevant theoretical frameworks. The role includes community-engaged research with fishery participants, managers, and community leaders. Strong collaboration skills are essential, as our projects are highly interdisciplinary and often implemented with industry, community, and agency partners. The position is based in the Integrated Systems Ecology Lab, led by Dr. Kathy Mills. The lab examines how climate and ecosystem change affect fish populations and fisheries, evaluates adaptation and resilience strategies, and provides actionable information to support decision-making. This full-time position is funded for 18 months and is based in Portland, ME. The position may be extended beyond the 18-month period contingent upon success in securing grant support to continue funding. Responsibilities/Tasks: Design and conduct research to understand how marine fisheries (including aquaculture) and fishing communities are impacted by and responding to climate-related ecosystem changes, as well as factors that influence adaptation options and outcomes. Lead the design, implementation, analysis, and interpretation of qualitative research related to climate adaptation and resilience, and advise other project collaborators conducting qualitative research on similar topics as needed. Build partnerships, facilitate communication, and engage diverse groups in research activities. Collaborate with GMRI teams and community partners to support vulnerability assessments and resilience planning in fishing communities and to share insights gained from those experiences. Compile and deliver quantitative information related to changes in marine ecosystems and fish populations for community-based assessment and planning efforts. Communicate research results through peer-reviewed manuscripts, conference presentations for scientific and practitioner audiences, public-facing documents, and public speaking engagements. Contribute to (and eventually lead) competitive grant proposals. Participate in working groups and research networks related to climate adaptation in fisheries as relevant opportunities arise. Participate in lab and GMRI staff meetings and other activities, including peer groups and mentorship roles. Requirements Required Qualifications: Ph.D. in a marine social science discipline (e.g., anthropology, sociology, policy, or interdisciplinary program with strong social science training) Strong background and familiarity with literature and theories associated with climate adaptation and resilience Experience designing and conducting qualitative social science research, including IRB protocols Experience coding, analyzing, synthesizing, interpreting, and presenting qualitative social science data Experience in marine fisheries and understanding of their management context Demonstrated ability to work independently and collaboratively Ability to establish and maintain relationships with relevant stakeholders and partners Strong written and oral communication skills, as evidenced through publications in the peer-reviewed scientific literature and presentations to a variety of audiences Ability and willingness to travel for fieldwork, meetings, workshops, conferences, and other purposes as needed Ability to manage multiple tasks, timelines, and partnerships effectively Fluent in English Eligible to work in the United States Preferred Qualification: Experience working across natural and social science disciplines Experience and expertise related to quantitative data collection and analyses in social sciences Ability to analyze, interpret, and communicate results from ecological and fisheries data Understanding of fisheries science, stock assessment, and management processes Experience engaging directly with resource users, community leaders, tribal entities, or other groups relevant to research topics Experience working across research-to-practice pipeline Experience working with transdisciplinary research teams Experience organizing workshops Experience managing projects, including administrative responsibilities Experience contributing to the development and writing of grant proposals. Ability to work in a statistical computing environment (e.g., R) Fluency in a language other than English Diversity and Inclusion: The Gulf of Maine Research Institute (GMRI) has a long-standing policy and commitment to providing equal access and equal employment opportunities in all terms, conditions, processes, and benefits of employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. GMRI's employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. Applicants and employees are encouraged to voluntarily provide certain status data to assist GMRI in fulfilling various reporting requirements of the federal government. This self-identification is completely voluntary, will be kept confidential and separate from your application data, and used only to meet certain state or federal reporting requirements. Providing or declining to provide this information will not result in adverse action of any kind. Salary and Benefits: GMRI offers a competitive salary and benefits package. Application Instructions: All applications must be accompanied by a cover letter, CV/résumé, and a list of three professional references with their contact information. Review of applications will begin immediately and will continue until the successful candidate has been selected. The deadline to submit applications is February 13, 2026.

The postdoctoral associate will conduct research collecting and/or using thermal imagery data to inform the movement ecology of aquatic species. Specific work will focus on the Piscataquis River through thermal mapping in conjunction with habitat availability and connectivity assessments, including ongoing research on Atlantic salmon and brook trout. The incumbent will work with the regional managers, Tribal partners, NGOs, and other researchers to continue technological exchange and develop collaborative research. The incumbent will also assist with other projects to provide research support for the PIs. Typical hiring salary for this soft-money funded position is $65,000 commensurate with qualifications and experience. Complete Job Description About the University: The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu. The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: PhD in an analytical field (Wildlife Ecology, Landscape Management, Forestry, Computer Science, etc.) conferred by date of hire. Ability to conduct applied research on the landscape ecology of wildlife. Proven success in seeing projects through from start to finish. Expertise in study design, data collection, and qualitative and quantitative analysis relevant to understanding the ecological processes. Demonstrated ability to work as an effective part of a team. Excellent oral and written communication skills. Preferred: Experience in thermal imagery and in aquatic systems. Demonstrated experience in large-scale data management, which may include spatial modeling, expertise in R, Python, GIS, or other platforms. Expertise in study design, data collection, and qualitative and quantitative analysis relevant to understanding the ecological processes, particularly with thermal patterns. Other Information: To be considered for this position you will need to “Apply” and upload the documentation listed below: 1.) a cover letter which describes your experience, interests, and suitability for the position 2.) a resume/curriculum vitae 3.) Transcripts Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for references. Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University. For full consideration, materials must be submitted by 4:30 p.m. EST on January 15, 2026. For questions about the search, please contact search committee chair Joseph Zydlewski. The successful applicant is subject to appropriate background screening. The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling ************, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at ************************ Clery Act The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. You may view the University's Annual Security Report. If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call ************.

The R&D Discovery and Technology Futures Team at IDEXX Laboratories is seeking a motivated early career Associate Scientist to join our LCMS group in advancing the next generation of multiomic biomarker assays. In this highly collaborative role, you will work alongside a team of talented scientists at the BS, MS, and PhD levels to support biomarker discovery projects that drive innovation in veterinary diagnostics. The successful candidate will be innately curious about mass spectrometry and proteomics, eager to develop technical expertise with cutting-edge instrumentation, and thrive in a fast-paced, scientifically diverse environment. In this role, you will contribute to large-scale biomarker discovery studies using state-of-the-art UPLC-MS/MS platforms. You will work closely with a scientifically diverse team with expertise in proteomics, glycoproteomics, metabolomics, and lipidomics to process and analyze complex biological samples from blood, urine, tissue, and fecal matrices. This position offers significant opportunities for hands-on learning and professional growth as you develop mastery of advanced analytical techniques and contribute to projects that directly impact animal health. What You'll Do: Perform large biomarker studies, including sample preparation, fractionation, UPLC-MS/MS analysis, and data processing across diverse sample types Prepare materials, execute experiments, gather and analyze data, and reach conclusions with guidance from senior team members Use cutting-edge instrumentation and analysis software to explore the world of proteomics, glycoproteomics, metabolomics, and lipidomics Perform basic maintenance and troubleshooting of UPLC and mass spectrometry systems Document experiments and lab activities with meticulous attention to detail; prepare reports and summaries; present results and conclusions to team members Order and maintain necessary reagents, consumables, and laboratory supplies Collaborate with multiple cross-functional teams to support new product development and on-market products Contribute to method development and optimization efforts for novel biomarker assays What You Need to Succeed: Bachelor's degree in Chemistry, Biochemistry, or related fields with 0-3 years of relevant experience in mass spectrometry, proteomics, or analytical chemistry (industry or academic research) Hands-on laboratory bench and instrumentation skills, including experience with chromatography and/or mass spectrometry systems Strong analytical and problem-solving skills with exceptional attention to detail Ability to quickly learn new techniques and adapt to changing priorities Excellent organizational and time management abilities Strong communication skills, both verbal and written, with ability to present data clearly Ability to work independently and cooperatively as part of a team Demonstrated initiative, accountability, and ownership of assigned tasks Highly Desirable: Experience with UPLC-MS/MS systems, particularly Thermo instruments (Vanquish UPLC, Orbitrap, or Q Exactive platforms) Familiarity with proteomic sample preparation techniques (protein extraction, digestion, fractionation) Exposure to proteomic or metabolomic software packages (e.g., Proteome Discoverer, Skyline, MaxQuant, Compound Discoverer) Experience working with biological matrices such as plasma, serum, urine, or tissue Physical Demands and Work Environment: Laboratory setting with varying levels of noise and exposure to various potential chemical and biological hazards Compliance with approved laboratory practices is required Extensive sitting, standing, and computer use Ability to extend and reach with hands and arms May be required to lift, move, and carry up to 50 pounds Occasional travel may be required What You Can Expect From Us: Base salary range starting at $62,000 based on experience Opportunity for annual cash bonus Health / Dental / Vision Benefits Day-One 5% matching 401k Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more If you're looking for a role that'll challenge you, offer a variety of work and learning opportunities in a cutting-edge analytical field, while helping an amazing industry, we'd love to hear from you! Why IDEXX: We're proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let's pursue what matters together. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes. #LI-CAG

Full-time Description JOB TITLE: Postdoctoral Research Associate in Biological Oceanography SUPERVISOR: Dr. Jérôme Pinti Pay Grade: 7 Starting Salary Range: $64,000-$69,000 The Gulf of Maine Research Institute (GMRI) develops and delivers collaborative solutions to global ocean challenges. We are dedicated to the resilience of the Gulf of Maine ecosystem and the communities that depend on it. To learn more, visit gmri.org. GMRI is currently seeking applicants for a Postdoctoral Research Associate to join the Biological Oceanography Lab. The Postdoctoral Researcher will work under the supervision of Dr. Jérôme Pinti and collaborate with a team of scientists at GMRI and other institutions to examine the role of fish in the Biological Carbon Pump in the Gulf of Maine. Fish-mediated flux (i.e., respiration, fecal pellets, and carcasses) is now widely recognized to account for a substantial part of total carbon export (between 10 and 30% of the export, depending on regions). However, the magnitude and variability of these fluxes in the Gulf of Maine are still not well understood. Here, using a combination of lab measurements, field sampling, and numerical modeling, the Postdoctoral Research Associate will dive deeper into the role of forage fish fecal pellets in the Gulf of Maine (regional production, sinking speed, and degradation rates), to obtain estimates of fish-mediated gravitational export and its spatio-temporal variations. The successful candidate will have a background in marine ecology and/or biological oceanography, and a deep understanding of marine carbon cycling and biological processes. The candidate should have experience in numerical modeling and/or statistical analysis, should be able to work relatively independently, and must demonstrate a strong record of producing high-quality scientific manuscripts. The incumbent is encouraged to explore other projects and proposals in line with his interests and expertise, the interests of the Biological Oceanography Lab, and contributing to GMRI's Strategic Plan. The preferred start date is May 1, 2026 or earlier. The position will be located primarily at GMRI (************* in Portland, ME; occasional travel is anticipated for field work, meetings, or conferences. The initial appointment is for one year, renewable depending on availability of funding. Responsibilities: Perform research on the Biological Carbon Pump in the Gulf of Maine, aligned with the Biological Oceanography's goals and GMRI's Strategic Plan. Contribute to the effective operation of the Biological Oceanography Lab by assisting the Principal Investigator (Dr. Pinti) with research execution, project coordination, and laboratory responsibilities. Mentor an undergraduate summer intern during the summer. Taken part in field work and other activities of the Biological Oceanography Lab as appropriate. Contribute to and lead proposals to support later stages of research. Synthesize and share results in peer-reviewed scientific papers and at scientific conferences. Other General Responsibilities: Participate in project team meetings and workshops. Participate in lab and GMRI staff meetings and activities. Requirements Required Qualifications: Ph.D. in a relevant discipline, such as biological oceanography, marine ecology, fisheries biology, fisheries ecology, applied mathematics, statistics, or another field that demonstrates a strong quantitative background (e.g., modeling, spatial statistics, time-series analysis). Experience with field work including sampling techniques (e.g., zooplankton or fish sampling), small boat operation, and the ability to work off hours and in variable conditions as needed. Demonstrated experience and fluency in relevant programming languages (e.g., R). Strong written and oral communication skills, as evidenced through publications in the peer reviewed scientific literature and presentation of results to a variety of audiences. Demonstrated ability to work independently and as part of a collaborative team. Eligible to work in the United States. Other Preferred Qualifications: Experience working on the Biological Carbon Pump. Experience crafting grant proposals. Diversity and Inclusion: The Gulf of Maine Research Institute (GMRI) has a long-standing policy and commitment to providing equal access and equal employment opportunities in all terms, conditions, processes, and benefits of employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. GMRI's employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. Applicants and employees are encouraged to voluntarily provide certain status data to assist GMRI in fulfilling various reporting requirements of the federal government. This self-identification is completely voluntary, will be kept confidential and separate from your application data, and used only to meet certain state or federal reporting requirements. Providing or declining to provide this information will not result in adverse action of any kind. Salary and Benefits: Gulf of Maine Research Institute offers a competitive salary and benefits package. To Apply: All applications must be accompanied by a cover letter and résumé. Review of applications will begin immediately and will continue until the successful candidate has been selected. Questions about the job description can be addressed to Dr. Pinti, ***************. The deadline to submit applications is February 28th, 2026.

This position will support innovation in cellulose nanofiber (CNF) production, rheology, and advanced manufacturing, as part of the Maine-FOREST initiative to develop processing-structure-property relationships for CNF-based products. The postdoctoral researcher will contribute to the development of scalable CNF technologies and biobased materials with applications in sustainable packaging, bio-composites, and 3D printing. This role involves conducting cutting-edge research at the intersection of materials science, AI-informed modeling, and sustainable product development, helping position Maine as a global leader in CNF-based innovation. Typical hiring range for this soft-money funded position is $50,000 to $60,000 commensurate with qualifications and experience. Complete Job Description About the University: The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu. The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: Ph.D. in Chemical Engineering, Materials Science, Mechanical Engineering, Forest Products, or a closely related field. Research experience in establishing processing-structure-property relationships for composites. Strong background in experimental methods and/or computational modeling, particularly in materials testing and/or process simulation. Strong background in microscopy and imaging. Demonstrated ability to prepare scientific manuscripts and presentations. Ability to work independently and collaboratively across disciplines. Preferred: Research experience with lignocellulosic materials, nanocellulose, or biocomposite materials. Experience with AI/ML tools applied to materials science or manufacturing. Familiarity with CNF/LCNF production, rheology, or their integration into biobased products. Experience in additive manufacturing or sustainable product design. Experience in laser-based imaging. Ability to work in a dynamic research environment with academic and industry partners. Other Information: To be considered for this position you will need to “Apply” and upload the documentation listed below: 1.) a cover letter which describes your experience, interests, and suitability for the position 2.) a resume/curriculum vitae Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for references. Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University. For full consideration, materials must be submitted by 4:30 p.m. EST on November 7, 2025. For questions about the search, please contact search committee chair Colleen Walker at ************************. The successful applicant is subject to appropriate background screening. In complying with the letter and spirit of applicable laws and pursuing its own goals of diversity, the University of Maine System does not discriminate on the grounds of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability physical or mental, genetic information, or veterans or military status in employment, education, and all other programs and activities. The University provides reasonable accommodations to qualified individuals with disabilities upon request. The following person has been designated to handle inquiries regarding non-discrimination policies: Director of Equal Opportunity, 5713 Chadbourne Hall, Room 412, University of Maine, Orono, ME 04469-5713, ************, TTY 711 (Maine Relay System). Clery Act The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. You may view the University's Annual Security Report. If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call ************.

The Genomics Team within R&D Discovery and Technology Futures Team is looking for an energetic and innovative Senior Scientist with deep expertise in genomics and Next Generation Sequencing (NGS) to drive biomarker discovery projects. The successful candidate will join a team of scientists that specializes across NGS, bioinformatics, and molecular assay development. We are looking for a highly motivated individual who has strong wet-bench and data analysis skills, is an effective independent contributor, and thrives as a team player in a collaborative environment. What you can expect: Perform diverse Next Generation Sequencing workflows (e.g. WGS, transcriptome, and methylome) and analyze the data to evaluate sequencing performance. Use and maintain cutting-edge genomics equipment, such as Illumina and Oxford Nanopore sequencers and digital PCR instruments. Identify, develop, and execute novel NGS and genomics strategies to advance discovery power and opportunities. Scout and evaluate cutting-edge sequencing technologies for their application to biomarker discovery and diagnostics. Leverage established and emerging bioinformatics tools to process, analyze, and visualize sequencing data for biomarker discovery (e.g. genomic variants). Design and execute experiments, analyze and interpret data, and communicate results and conclusions to diverse audiences, including IDEXX senior leadership. Extract and QC nucleic acids from a variety of samples for NGS and dPCR (e.g. clinical tissues, liquid biopsy, and cell models). Work collaboratively within the Genomics team to convert biomarkers into molecular assays and across cross-functional R&D teams to support larger multi-omics objectives. Perform data quality control and troubleshooting, maintain accurate documentation, and continually improve lab infrastructure and workflows. Maintain a world-class molecular lab alongside other wet lab scientists. What you need to succeed: Ph.D. in Molecular Biology, Genomics, or related discipline or equivalent combination of education and experience. Demonstrated experience working with and developing protocols for a wide variety of sample types, such as fresh-frozen and FFPE tissues and blood/plasma/serum. Hands-on experience with and demonstrated understanding of Illumina and Oxford Nanopore sequencers and instruments that quantify and quality control nucleic acids (e.g. tapestation, qubit, nanodrop). Hands-on experience with and demonstrated understanding of at least two of the following NGS strategies: whole genome, whole exome, transcriptome, amplicon/targeted, and methylome sequencing. Hands-on experience with bioinformatic tools to process and analyze sequencing data. Experience with a broad range of molecular biology and analytical techniques. Detail-oriented and ability to adapt quickly to changing priorities. Demonstrated ability to critically evaluate and interpret results. Excellent communication and organizational skills. Ability to work independently and collaboratively in a team environment. Ability to take initiative and be accountable. What you can expect from us: Salary range starting at $110,000 based on experience Opportunity for annual cash bonus Health / Dental / Vision Benefits Day-One 5% matching 401k Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more If you're looking for a role that'll challenge you, offer a variety of work and learning, while helping an amazing industry, we'd love to hear from you! Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role. Why IDEXX: We're proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let's pursue what matters together. About the job location: If you're thinking about relocating for this role, here are a few things to know about living in Maine (often called “Vacationland”). The Westbrook, ME area provides great access to active downtown areas and the outdoors, with the coast and numerous mountains and hiking trails nearby. You'll also find a number of large companies like ours in the area, creating a vibrant work culture. You can learn more on the Portland tourism website: ************************************************************** IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes. #LI-CAG