Explore 4 junior python developer jobs from 3 hiring companies in North Windham, ME, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer Jobs

University System of New Hampshire

IDEXX

TD Bank

Onsite

USNH Employees should apply within <a href="https://wd5.myworkday.com/usnh/d/home.htmld" target="_blank">Workday</a> through the <a href="https://wd5.myworkday.com/usnh/d/task/2998$46522.htmld#backheader&#61;true" target="_blank">Jobs Hub</a> appThe Center for Coastal and Ocean Mapping (CCOM) at the University of New Hampshire (UNH) invites applications for a Postdoctoral Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position focuses primarily on the design, prototyping, and evaluation of symbology for maritime data products, with particular emphasis on layered displays, perceptual evaluation, and robustness under real operational conditions. The successful candidate will work at the intersection of visual perception, digital cartography, and maritime navigation systems, addressing challenges that are becoming increasingly important as new generation maritime products and services continue to expand. The work has direct relevance to international standards development and operational navigation systems and offers opportunities for scholarly publication and community impact. The successful candidate will work closely with faculty, graduate students, and external partners (including NOAA and International Hydrographic Organization (IHO) working groups) to investigate how symbology behaves under multiple overlapping data layers, varying background conditions, and operational display constraints, and to translate these findings into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing, and related research initiatives within CCOM.<h2>Duties/Responsibilities</h2>Cartographic Research &amp; Analysis (50%)<ul><li>Conduct research on color and symbology behavior in layered electronic chart displays, including transparency, blending, and perceptual separability.</li><li>Develop and evaluate methods for perceptually grounded symbology selection, including simulation-based assessment across multiple background contexts.</li><li>Design and execute evaluation studies (analytical and/or user-centered) to assess interpretability, robustness, and usability of proposed symbology.</li><li>Contribute to related research in nautical cartography, including data generalization and automated chart compilation workflows.</li></ul>Tool &amp; Prototype Development (25%)<ul><li>Design and implement prototype tools (e.g., for color evaluation, blending analysis, or symbology testing).</li></ul>Standards &amp; Collaboration (15%)<ul><li>Contribute to standards development for emerging maritime product specifications, including interaction with IHO working groups.</li></ul>Publications and Service (10%)<ul><li>Contribute to peer-reviewed publications, technical reports, and IHO information papers.</li><li>Provide mentorship to graduate students working on related topics.</li></ul><h2>Requirements</h2>Minimum Acceptable Education &amp; Experience:<ul><li>PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field.</li><li>Strong background in visualization, computer graphics, or perceptual evaluation.</li><li>Demonstrated proficiency in programming (Python required).</li><li>Ability to work independently while contributing to collaborative, interdisciplinary research eﬀorts.</li></ul>Knowledge, Skills &amp; Abilities:<ul><li>Strong analytical, problem-solving, and research skills to design, evaluate, and interpret complex visualization and symbology behaviors.</li><li>Effective communication and collaboration abilities, including writing for academic and technical publication, engaging with interdisciplinary teams, and interacting with external partners and standards bodies.</li><li>Self-management, adaptability, and attention to detail, with the ability to work independently, manage multiple research activities, and learn emerging tools, methods, and standards.</li></ul>Preferred Qualifications:<ul><li>Experience with cartography, GIS, or geospatial data processing.</li><li>Familiarity with color spaces and perceptual metrics (e.g., CIELAB, ΔE-based measures) or a strong willingness to learn.</li><li>Familiarity with maritime navigation systems, ENC/ECDIS concepts, or S-100 standards.</li><li>Experience with user studies, perceptual experiments, or human-factors evaluation.</li><li>Interest in applied research that bridges theory, standards development, and operational use.</li></ul><div></div><div>Applicant Instructions: Applicants should be prepared to upload the following documents when applying online within the My Experience: Resume/CV section of the application: (Maximum of 5 Documents)<ul><li>Resume/CV</li><li>Cover Letter</li><li>Contact Information for 3 Professional References</li></ul>Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.</div><div>Compensation Pay Range: $62,000 to $67,000/yearPlease be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures. </div>The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.EEO StatementThe University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: <a target="_blank" href="https://nam12.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.usnh.edu%2Fhuman-resources%2Fusnh-employee-benefits&amp;data&#61;05%7C02%7CMaryEllen.Reisch%40usnh.edu%7C6887db12a3ff49bcb54608de164ea56f%7Cd6241893512d46dc8d2bbe47e25f5666%7C0%7C0%7C638972724237289067%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;5Z%2F4deRSzJ9q47qEmiWwu7kezH0W%2F7HB3g1fsIsQZGI%3D&amp;reserved&#61;0">USNH Employee Benefits | Human Resources</a>Location:DurhamSalary Grade:Faculty 01

Postdoctoral Research Associate

PhD in Computer Science, Visualization, Cartography, GIS, or related field; strong visualization/graphics; Python proficiency; ability to work independently and with teams.

Usnh

USNH Employees should apply within <a href="https://wd5.myworkday.com/usnh/d/home.htmld" target="_blank">Workday</a> through the <a href="https://wd5.myworkday.com/usnh/d/task/2998$46522.htmld#backheader&#61;true" target="_blank">Jobs Hub</a> appThe Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The successful candidate will apply a dynamic global vegetation model (DGVM) to the conterminous USA and the globe, to explore future projections of vegetation conditions under climate change scenarios. The project is a joint venture with USDA Forest Service, and the study results will inform the Forest Service Resource Planning Act (RPA) Assessment. The successful candidate is anticipated to have a strong background in modeling and/or global ecology, is highly motivated to produce actionable science, and is ready to lead high impact journal publications. The postdoctoral research associate will be supervised by Dr. Xiao, with additional guidance from and collaboration with other UNH (Dr. Henrique Duarte) and Forest Service (Dr. John Kim) researchers. Applications will be considered on a rolling basis until a suitable candidate has been selected. The initial appointment will be for 1 year, with a possibility to extend depending on performance and funding availability.Duties/Responsibilities<div><ul><li>Lead research on the calibration of the dynamic global vegetation model (DGVM) to two spatial extents/resolutions: conterminous USA (CONUS) and to the globe.</li><li>Run the calibrated DGVM into the future using CMIP6 future climate projections selected by the FS RPA Assessment.</li><li>Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on the publication of high-quality and high-impact papers.</li></ul> RequirementsMinimum Acceptable Education &amp; Experience:<ul><li>A Ph.D. in ecosystem modeling, vegetation modeling, earth system modeling, global ecology, or a related field.</li></ul>Knowledge, Skills &amp; Abilities:Research and Outreach Skills:<ul><li>Strong research experience in modeling ecosystem processes at local to global scales.</li><li>Experience exploring and manipulating continental to global scale ecological datasets.</li><li>Demonstrated record of publishing in peer-reviewed journals.</li><li>Demonstrated ability to work effectively in a research team setting.</li><li>Strong interest and motivation in writing high impact journal articles.</li></ul>Programming and Computing Skills:<ul><li>Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF).</li><li>Strong programming skills in a tool that allows effective manipulation of gridded data, such as MATLAB, Python, R, or NCO.</li><li>Ability to read and do limited modifications of C/C&#43;&#43; model source code.</li><li>Ability to use Windows or MacOS.</li><li>Ability to run simulations on a high performance computing platform running Linux and a job control system such as PBS or SLURM.</li><li>Ability to use various software for composing a manuscript and plotting figures and maps suitable for publication, including GIS.</li></ul>Additional Experience:<ul><li>Strong written and verbal communication skills.</li><li>Proven ability to meet deadlines.</li><li>Ability to effectively survey and read relevant scientific literature, and collaboratively brainstorm paper writing opportunities based on current project.</li></ul>Applicant InstructionsApplicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:<ul><li>Resume/CV</li><li>Cover Letter</li><li>Contact Information for 3 Professional References</li></ul>Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.Compensation Pay Range: $55,000Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures. </div>The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.EEO StatementThe University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: <a target="_blank" href="https://nam12.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.usnh.edu%2Fhuman-resources%2Fusnh-employee-benefits&amp;data&#61;05%7C02%7CMaryEllen.Reisch%40usnh.edu%7C6887db12a3ff49bcb54608de164ea56f%7Cd6241893512d46dc8d2bbe47e25f5666%7C0%7C0%7C638972724237289067%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;5Z%2F4deRSzJ9q47qEmiWwu7kezH0W%2F7HB3g1fsIsQZGI%3D&amp;reserved&#61;0">USNH Employee Benefits | Human Resources</a>Location:DurhamSalary Grade:Faculty 01

Ph.D. in ecology-related field; experience with ecological modeling, data analysis, and publications.

Work Location:New York, New York, United States of AmericaHours:40Pay Details:$76,290 - $125,260 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate&#39;s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.Line of Business:Analytics, Insights, &amp; Artificial IntelligenceJob Description:Why Work with Us?At TD Bank US Compliance, we&#39;re on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you&#39;ll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact – both in day-to-day operations and in the design of a future-focused compliance program. This not just about implementing a new program – it&#39;s about creating a culture of compliance that will cascade throughout the organization.As the backbone of our financial system, financial institutions have rich large-scale datasets and are rapidly adopting models to improve customer experience and drive business performance, including AI and machine learning. While models are increasingly pervasive across society, many outstanding questions and challenges must be answered to ensure that model outcomes are fair and transparent. In this position, you will play a key role in ensuring the appropriate application of models and positioning TD as an industry leader in Responsible and Ethical AI.This role focuses on the intersection of fairness, transparency, and accountability in Artificial Intelligence and Machine Learning (AI/ML). The successful candidate will contribute to ensuring that models are developed and deployed responsibly, with outcomes that are explainable, trustworthy, and aligned with ethical standards. Financial institutions rely on large-scale datasets and advanced analytics to enhance customer experience and business performance, making rigorous oversight essential. In this position, you will play a key role in evaluating models, addressing emerging challenges related to responsible AI, and supporting the appropriate application of analytical solutions while helping position the organization as a leader in ethical and compliant AI practices.TEAM DESCRIPTIONThe successful candidate will join the Fair Banking Compliance Model Review team, which is responsible for ensuring that the bank’s models are fair, transparent, and responsibly applied. This role requires a strong working knowledge of building Generative AI and machine learning models, performing data analysis, recommending appropriate statistical tests and metrics for bias detection, and researching emerging fairness methodologies. The incumbent will present and document analytical findings and communicate effectively with business partners through strong written and verbal skills. This position plays a critical role in the independent oversight and review of models to support fair banking compliance.Key Responsibilities:<ul><li>Review machine learning, AI, and Generative AI models across TD to identify potential fairness and bias risks.</li><li>Represent Compliance in major projects, initiatives, and enterprise engagements.</li><li>Perform quantitative analyses to identify fair lending risks associated with model development and use.</li><li>Identify and recommend alternative approaches to mitigate fair lending bias arising from models.</li><li>Develop specialized analytical tools to support project-specific needs or ongoing review activities.</li><li>Compile, analyze, and generate ad-hoc analytical reports for internal stakeholders.</li><li>Lead research efforts by applying advanced statistical analysis and modeling expertise.</li><li>Provide advisory support to line-of-business model owners on compliance best practices aligned with internal policies and industry standards.</li><li>Lead cross-functional teams or initiatives involving significant complexity.</li><li>Independently manage end-to-end functional programs and deliverables.</li><li>Apply sound judgment and a sophisticated analytical mindset to identify risks and recommend solutions.</li><li>Communicate complex analytical findings clearly to non-technical audiences.</li><li>Operate autonomously as a subject matter expert while mentoring and guiding others within the area of expertise.</li><li>Manage multiple concurrent projects and priorities in a dynamic business environment.</li></ul>The above details are specific to the role which is outlined in the general Job Profile Summary and description below. Please review the Desired Skills and Experience below in as you consider this opportunity.Job Profile Summary The Applied Machine Learning Scientist I is responsible for providing technical expertise on advance analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures.This role has a contributing role in the development of AI/ML systems and provides actionable insights to solve business problems.Depth &amp; Scope:<ul><li>Works autonomously and is accountable for sound knowledge in a given AI/ML area and of various AI/ML frameworks, tools, processes and procedures, as well as organization issues, best practices and business/organization standards</li><li>Sound knowledge of applications, systems, innovation, design activities, best practices, business/organization standards</li><li>Solves complex problems, takes new perspectives on existing solutions</li><li>Independently performs tasks from end-to-end to deliver quality results and meet timelines</li><li>May work under guidance of more senior roles</li></ul>Education &amp; Experience:Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate&#39;s degree preferred with either progressive project work experienceDesired Skills &amp; Experience<ul><li>Master&#39;s degree in computer science, machine learning, AI, engineering, statistics, data science, mathematics or related field and 2&#43; years of relevant work experience in either developing or validating Generative AI, LLMs, NLP and other Deep Learning models. PHD with specialization in ML, AI, or Statistics is a plus.</li><li>In-depth knowledge of AI/ML methodologies, concepts and theory including Generative AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models etc.</li><li>Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, PromptFlow, LangChain, HuggingFace, etc.</li><li>Motivated to stay up to date with the latest advancements in Generative AI, machine learning, and cloud technologies.</li><li>Academic or industry research experience in Responsible AI, fairness, or model evaluation</li><li>Proficient in one or more scripting/programming languages such as Python.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., PySpark, Hadoop).</li><li>Knowledge of machine learning explain-ability/interpretability algorithms.</li><li>Excellent verbal and written communication skills and stakeholder management abilities (position requires writing and reviewing reports of a technical nature).</li><li>Strong critical and analytic thinking skills.</li><li>Excellent time / project management and multitasking skills with minimal supervision.</li><li>Ability to work independently and collaboratively in a fast-paced, dynamic environment.</li><li>Publications in relevant conference and journals and research in GenAI/LLM field is a plus.</li><li>Ability to implement AI/ML algorithms from academic research papers is a plus.</li></ul>Customer Accountabilities:<ul><li>Provides expertise on mathematical concepts for the broader analytics team and inspires the adoption of advanced analytics and machine learning across the organization</li><li>Interprets the meaning of new strategic directions and sets objectives and measurements Implements monitoring and feedback systems to evaluate progress and identifies ways of making continuous improvements</li><li>Gathers and analyzes information or data on current and future trends of best practices</li><li>Seeks information on areas impacting the progress of organizational and process issues</li></ul>Shareholder Accountabilities:<ul><li>Adheres to enterprise frameworks or methodologies that relates to activities for our business area</li><li>Ensures respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities</li><li>Consistently exercises discretion in managing correspondence, information and all matters of confidentiality; escalates issues where appropriate</li><li>Ensures business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)</li><li>Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations</li><li>Conducts internal and external research projects; supports the development/delivery of presentations/communications to management or broader audience</li><li>Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/policies/practices</li><li>Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist</li><li>Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues</li><li>Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements</li><li>Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts</li><li>Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite</li></ul>Employee/Team Accountabilities:<ul><li>Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest</li><li>Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit</li><li>Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques</li><li>Participates in personal performance management and development activities, including cross training within own team</li><li>Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities</li><li>Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices</li><li>Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships.</li><li>Contributes to a fair, positive and equitable environment that supports a diverse workforce</li><li>Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally</li></ul>Physical Requirements:<ul><li>Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%</li><li>Domestic Travel – Occasional</li><li>International Travel – Never</li><li>Performing sedentary work – Continuous</li><li>Performing multiple tasks – Continuous</li><li>Operating standard office equipment - Continuous</li><li>Responding quickly to sounds – Occasional</li><li>Sitting – Continuous</li><li>Standing – Occasional</li><li>Walking – Occasional</li><li>Moving safely in confined spaces – Occasional</li><li>Lifting/Carrying (under 25 lbs.) – Occasional</li><li>Lifting/Carrying (over 25 lbs.) – Never</li><li>Squatting – Occasional</li><li>Bending – Occasional</li><li>Kneeling – Never</li><li>Crawling – Never</li><li>Climbing – Never</li><li>Reaching overhead – Never</li><li>Reaching forward – Occasional</li><li>Pushing – Never</li><li>Pulling – Never</li><li>Twisting – Never</li><li>Concentrating for long periods of time – Continuous</li><li>Applying common sense to deal with problems involving standardized situations – Continuous</li><li>Reading, writing and comprehending instructions – Continuous</li><li>Adding, subtracting, multiplying and dividing – Continuous</li></ul>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities &amp; duties are considered essential functions for ADA purposes.#LI-AMCBCorporateWho We Are:TD is one of the world&#39;s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. <a href="http://hrportal.ehr.com/tdtotalrewards" target="_blank">Learn more</a>Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  We&#39;re committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.Training &amp; Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.AccommodationTD Bank is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at <a href="mailto:USWAPTDO&#64;td.com" target="_blank">USWAPTDO&#64;td.com</a>.  Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Applied Machine Learning Scientist I (US)

Applied Machine Learning Scientist I

Develop and validate AI/ML models, ensure fairness/bias detection, and collaborate with stakeholders. Proficiency in Python; knowledge of GenAI/NLP and cloud platforms.

You will join the Diagnostic Assay Instrument Integration Development System purpose of this internship is to expand and scale assay menu capabilities on a diagnostic assay development system, comprised of robotics and instrumentation. The intern will support integration of new assay sequences into the system and develop backend data processing and visualization tools to improve workflow efficiency, data visibility, and scalability.Timeframe: June 1 to August 7, full time (40 hrs/week) or full time, with possible longer-term opportunities. This role is in-person in Westbrook, Maine. To qualify for our program, you must be actively enrolled as a student beyond the summer program.Goals to accomplish:<ul><li>Coordinate with cross-functional engineers to understand assay requirements and translate them into executable machine sequences</li><li>Program and validate new assay workflows on the development system using Inductive Automation’s Ignition HMI</li><li>Develop automated backend data processing pipelines using Python</li><li>Create data visualization tools to improve insight into assay performance and reagent lot-to-lot variation using Python and/or JMP statistical methods</li><li>Improve or extend the Ignition HMI to support new workflows</li><li>Document processes and train assay/operations teams on new tools and workflows</li></ul>Desired Skills: Applicants will ideally have:<ul><li>Experience in instrument control or robotics with a focus on embedded systems</li><li>Experience using version control tools (e.g., Git/GitHub)</li><li>Proficiency in Python</li><li>Strong technical documentation and communication skills</li><li>Experience working with laboratory instrumentation, automation systems, or data acquisition workflows</li><li>Experience with statistical data analysis (JMP)</li><li>Familiarity with Ignition (SCADA / UI development)</li></ul>Things you will learn:<ul><li>Systems-level approach to assay development and characterization</li><li>Translating assay requirements into automated machine workflows</li><li>Backend data automation and visualization tool development</li><li>Working within a cross-functional engineering environment</li><li>Fundamentals of assay characterization and slide-based analyzer systems</li><li>Practical application of software development in a regulated laboratory environment</li></ul>What you can expect from us:  <ul><li>Salary is $25.00/hr</li><li>Start contributing to a 401k </li></ul>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&#43; 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

Diagnostic Assay Instrument Integration Development System Intern

Internship in diagnostic assay instrument integration; strong Python, version control, and data visualization skills; experience with laboratory instrumentation or robotics a plus.

Junior Python Developer Jobs in North Windham, ME, US

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