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

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Junior Python Developer

Wawarsing

Ellenville

Fallsburg

Middletown

Kingston

Poughkeepsie

Newburgh

Beacon

Kiryas Joel

Scotchtown

New Paltz

Walden

Peekskill

Cortlandt Manor

Woodbury

West Milford

Monticello

New Windsor

Orange Lake

Junior Python Developer Jobs

Boehringer Ingelheim

Pfizer

The Clearing House

Hybrid

Onsite

Remote

Theclearinghouse

Position Summary: This position is for a DevOps Engineer focused on CI/CD tooling for the on-premises and AWS infrastructure. This position will work closely with developers, QC and infrastructure teams to build out our in-house and cloud CI/CD pipelines so that developers can build and deploy applications in a secure manner. This position will also maintain current DevOps tooling at TCH.About The Clearing House: The Clearing House (TCH) is a banking association and payments company that is owned by the largest commercial banks in the United States. TCH owns and operates the core payments system infrastructure in the US and is currently working to modernize that infrastructure by launching a new, ubiquitous, real-time payment system. TCH is the only private-sector ACH and wire operator in the US, clearing and settling nearly $2 trillion in US dollar payments each day, representing half of all commercial ACH and wire volume. TCH has provided critical services to the banking industry since 1853, and today, our core products facilitate services including Direct Deposit of payroll, bill payments, and check image exchange.Qualifications Required:<ul><li>Develop and maintain Ansible playbooks and roles for automated configuration and deployments</li><li>Support infrastructure provisioning and configuration management across environments (dev, QA, staging, production)</li><li>Collaborate with engineering teams to automate repetitive operational tasks</li><li>Help manage CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab CI)</li><li>Monitor system performance and assist in troubleshooting deployment issues</li><li>Maintain documentation for infrastructure, automation workflows, and deployment processes</li><li>Participate in improving security, scalability, and reliability of systems</li></ul>Qualifications desired:<ul><li>Bachelor’s degree or equivalent professional experience</li><li>Minimum 1 years in a DevOps, with a track record of managing high -traffic production environments</li><li>Initial level proficiency in AWS and/or Azure</li><li>Basic expertise in Docker and Certified Kubernetes skills</li><li>Basic proficiency in Python, Go, or Ruby for creating custom automation tooling and APIs</li><li>Basic understanding of Linux system administration, kernel tuning, and networking protocols (TCP/IP, HTTP/S, DNS)</li></ul>Essential Functions and Responsibilities:<ul><li>Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of Docker or containerization</li><li>Familiarity with Terraform or other IaC tools</li><li>Understanding of YAML/JSON configuration formats</li><li>Experience with monitoring tools (Prometheus, Grafana, etc.)</li></ul>Success factors/job competencies:The successful candidate will have strong technical expertise on a variety of platforms and will be able to contribute to the design, test and implementation of the application. The candidate will need to be detail oriented but also able to understand the overall environment (internally and externally) and interact with and communicate effectively with all levels of the organization and external clients at all levels. The candidate should be a strong team player. The ability to work effectively cross-organizationally and with external clients will be a key factor to success in this role.Performance standards:<ul><li>Complete tasks and projects in a timely manner.</li><li>Demonstrate high levels of professionalism and decorum.</li><li>Demonstrate effective team work.</li><li>Adhere to and support all Tech &amp; Ops and TCH strategic goals.</li><li>Communicate effectively with internal personnel at all levels and with vendors and external clients.</li></ul>Physical demands and work environment: Work is generally sedentary in nature. The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.Employees in this position will report to the office 3 days per week.Occasional travel may be required. Onsite work requirements may change at any time.

DevOps Junior Engineer

Develop and maintain Ansible playbooks, support CI/CD across environments, automate tasks, monitor and document infrastructure.

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Description</H2></div><div><div>
The gBDS / Med Data/AI, Boehringer Ingelheim is seeking a Postdoctoral Research Fellow to help advance the development of robust clinical trial simulation tools  aimed at improving the probability of success for clinical trials by integrating multimodal datasets. This is an applied research and implementation role—focused on evaluating rigorous statistical methodology from the research stage into confirmatory, pivotal clinical studies. It is an exceptional opportunity for candidates looking to bridge academia and industry from a clinical statistical research perspective, working at the intersection of methodological rigor and real-world drug development impact.  
 
The fellow will focus on identifying, integrating, and applying fit-for-purpose methods and data to inform trial design and execution decisions—supporting faster, more reliable studies through improved feasibility assessment, operational risk forecasting, and robust inference under real-world trial constraints. This research role emphasizes reproducible methods, transparent assumptions, and publication-quality statistical work that can be translated into practical tools used by clinical development teams. The ideal candidate is self-driven and motivated—someone who works independently and takes initiative, while benefiting from scientific guidance and a collaborative team environment. 
 
</div>
 As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Duties &amp; Responsibilities</H2></div><div>You will work with considerable autonomy, taking ownership of your projects with scientific guidance available from your supervisor/s and the broader team. Core responsibilities include: 
<ul>
<li>Integrate multimodal data sources across trial operations and clinical outcomes to parameterize and calibrate simulations (internal trial data + operational metrics + external benchmarks where appropriate). </li>
<li>Evaluate and validate clinical trial simulation frameworks that quantify how operational and clinical factors (e.g., recruitment pace, dropout, missing data, site heterogeneity, nonadherence, endpoint variability, protocol deviations) impact probability of success.  </li>
<li>Build simulation models incorporating relevant data sources (clinical trial, real world evidence,) for scenario basis planning, and integration via simulation.  </li>
<li>Build scenario engines for trial execution planning (e.g., “what-if” analyses on site mix, monitoring intensity, recruitment strategies, data cleaning rules, visit schedules, or enrichment approaches) and translate results into actionable decision support. </li>
<li>Implement and compare statistical methods relevant to trial robustness under execution realities, including (examples): 
<ul>
<li>missing data mechanisms and sensitivity analyses (MAR/MNAR), </li>
<li>Bayesian models (meta analytic, hierarchical, etc.) </li>
<li>intercurrent events and estimands-aligned strategies, </li>
<li>site-level/random effects and cluster heterogeneity, </li>
<li>treatment effect attenuation due to nonadherence, </li>
<li>informative dropout and time-varying covariates. </li>
</ul>
</li>
<li>Conduct simulation studies to evaluate design choices (sample size, randomization schemes, interim decision rules, adaptive elements, endpoint definitions) and make predictions using performance metrics such as power, type I error, bias, estimation bias, predictive probabilities, and other operating characteristics.   </li>
<li>Create reusable, reproducible simulation pipelines (R/Python) for simulation, diagnostics, and reporting—version-controlled, well-tested, and well-documented for long-term sustainability. </li>
<li>Communicate results clearly to cross-functional stakeholders (biostatistics, clinical operations, clinical development, data science) via manuscripts, conference abstracts, internal whitepapers, and presentations. </li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Qualifications</H2></div><div><ul>
<li>Ph.D. in Biostatistics or Statistics (or closely related quantitative discipline) from an accredited institution, awarded prior to start date. This role is designed for recent graduates seeking an applied biostatistics postdoc focused on clinical trial simulation. Candidates with a strong academic background who are motivated to move into industry—and who want a structured yet independent environment to bridge that transition—will be a great fit. </li>
<li>Strong foundation in clinical trial methodology and inference (e.g., GLMs, mixed models, survival analysis, longitudinal models, causal/estimand thinking, multiplicity basics, Bayesian experience). </li>
<li>Demonstrated ability to program in R and/or Python for statistical modeling and simulation; experience with reproducible workflows (Git, unit testing, code review, literate reporting such as Quarto/RMarkdown/Jupyter) preferred. </li>
<li>Familiarity with Monte Carlo simulation, power/operating characteristic evaluation, and principled model checking/validation. </li>
<li>Interest or experience working with multimodal trial data including operational metrics (site performance, enrollment curves, deviations) and clinical outcomes data; experience with real-world or observational health data is a plus but not required. </li>
<li>Ability to work in a highly collaborative environment and communicate statistical results to non-statistical stakeholders with clarity and pragmatism.  </li>
<li>Demonstrated capacity to work independently, manage your own research agenda, and roll forward on problems without waiting for constant direction—proactive initiative is a key expectation of this role. </li>
</ul>
 Eligibility Requirements:
<ul>
<li>Must be legally authorized to work in the United States without restriction.</li>
<li>Must be willing to take a drug test and post-offer physical (if required).</li>
<li>Must be 18 years of age or older.</li>
</ul>
 
Application Requirements
1. Curriculum vitae
2. Letter of intent - focusing on how a fellowship at Boehringer Ingelheim can help further your career growth. *Please upload under My Documents, Additional Attachments.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Compensation</H2></div><div>This position offers a base salary of $80,000.  The position may be eligible for a role specific variable or performance based bonus and or other compensation elements.  For an overview of our benefits please <a href="https://www.boehringer-ingelheim.com/us/careers/benefits-rewards">click here.</a>
 
Duration: Two years
Location: Remote (within US)</div></div></div>

Post Doctoral Medical Fellow - Applied Biostatistics, Clinical Trial Simulation (Ridgefield, CT, United States, Connecticut)

Post Doctoral Medical Fellow

PhD in Biostatistics or Statistics; strong trial methodology; R/Python; Monte Carlo; multimodal data; collaboration; initiative.

<div><div>Use Your Power for Purpose </div><div>At Pfizer, our purpose is to deliver breakthroughs that transform patients&#39; lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally.   </div><div>What You Will Achieve </div><div>In this role, working at the interface of viral genomics, antigenicity modeling, evolutionary forecasting, and deep learning, you will design, implement, and validate AI-driven models for prospective vaccine strain selection. More specifically, you will: </div><div><ul><li>Develop sequence-based deep learning models for rapidly evolving virus, including:</li></ul></div><div><ul><li>transformer or language-model-based architectures for viral protein sequences and  </li></ul></div><div><ul><li>graph neural networks that predict time-dependent changes in strain dominance.  </li></ul></div><div><ul><li>Integrate multi-source surveillance, immunogenicity, and vaccine efficacy data to compute and evaluate prospective coverage scores for candidate vaccine strains. </li></ul></div><div><ul><li>Utilize interpretation frameworks to identify key features for virus evolutional advantage related to infectious disease burden and vaccine antigen design. </li></ul></div><div><ul><li>Conduct rigorous retrospective and prospective benchmarking validation. iterative fine-tuning to improve model performance </li></ul></div><div><ul><li>Communicate complex data and results clearly to both technical and non-technical stakeholders. Collaborate extensively with those from other scientific disciplines within the group, from other subdivisions of Pfizer, and potentially from external partners. </li></ul></div><div><ul><li>Publish impactful scientific findings while safeguarding confidential data, ensuring clear, transparent reporting of methods and results to facilitate reproducibility and recognition in peer-reviewed journals and conferences. </li></ul></div><div> </div><div>Minimum Requirements </div><div><ul><li>Ph.D. in Computational Biology, Bioinformatics, Computer Science, Machine Learning, or a closely related field. </li></ul></div><div><ul><li>Demonstrated ability to independently design and implement complex ML models, evidenced by first‑author publications or equivalent open-source research contributions. </li></ul></div><div><ul><li>Strong hands-on experience with deep learning for sequence data, including </li></ul></div><div><ul><li>transformer or language-model architectures, and </li></ul></div><div><ul><li>model training, validation, and benchmarking on large biological datasets </li></ul></div></div><div><div><ul><li>Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), with experience managing full modelling pipelines and statistical modeling, including regression analysis and mixed-effects models. </li></ul></div><div><ul><li>Experience working with viral or microbial sequence data, including alignment, curation, and longitudinal analysis across time. </li></ul></div><div><ul><li>Less than 2 years of post-degree experience. </li></ul></div><div><ul><li>Two letters of recommendation must be provided prior to interview.  </li></ul></div><div><ul><li>Willingness to make a minimum 2-year commitment. </li></ul></div><div><ul><li>Strong communication and collaboration skills with the ability to work effectively in a hybrid team environment. Strong organizational skills and attention to detail in managing deadlines and documentation. </li></ul></div><div><ul><li>Ability to clearly communicate complex modeling concepts and results to both technical and biological audiences. </li></ul></div><div> </div><div>Preferred Qualifications </div><div><ul><li>Direct experience with viral evolution modeling, fitness/dominance prediction, or time-resolved sequence forecasting.  </li></ul></div><div><ul><li>Experience building or extending protein language models or MSA-based neural networks for biological inference. </li></ul></div><div><ul><li>Familiarity with antigenicity data or related experimental measurements, and how such data can be integrated into machine learning models </li></ul></div><div><ul><li>Knowledge of SHAP or similar model interpretation frameworks for feature attribution in complex models. </li></ul></div><div><ul><li>Prior work on influenza, SARS‑CoV‑2, or other rapidly evolving viruses, particularly in the context of immune escape, antigenic drift, or vaccine design. </li></ul></div><div> </div><div>Additional Information </div><div><ul><li>Relocation support available </li></ul></div><div><ul><li>Location: On premise </li></ul></div></div>  &amp;#xa;The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;Relocation assistance may be available based on business needs and/or eligibility.&amp;#xa;Candidates must be authorized to be employed in the U.S. by any employer.U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.&amp;#xa;<div><div><div><div><div><div><div><div>Sunshine ActPfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.  These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure.  Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.  Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.  If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.</div></div></div></div></div></div></div></div>&amp;#xa;<div><div><div><div><div><div><div><div>EEO &amp; Employment EligibilityPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer.  This position requires permanent work authorization in the United States.Pfizer endeavors to make <a href="http://www.pfizer.com/careers" target="_blank">www.pfizer.com/careers</a> accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email <a href="mailto:disabilityrecruitment&#64;pfizer.com" target="_blank">disabilityrecruitment&#64;pfizer.com</a>. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.</div></div></div></div></div></div></div></div>&amp;#xa;Research and Development&amp;#xa;

Postdoctoral Fellow, AI/ML Applications for Vaccine

Postdoctoral Fellow

PhD in Computational Biology, Bioinformatics, CS or related field; strong ML, deep learning with sequence data; Python and ML frameworks; 2 letters of recommendation; <2 years post-degree experience; willing to commit 2+ years.

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