1920 Director Machine Learning And Ai jobs in Boston,MA

USD $43.50 - USD $47.71 /Hr.

High school diploma or general education degree (GED) is required.

Technical certificate or 7 years of experience or equivalent

U.S. citizenship is required.

An Associate's degree or equivalent plus a minimum of 6 years of relevant experience

Certificate in SolidWorks and experience in ProtoTRAK Mill and Lathe and/or HAAS Mill and Lathe

Ability to use mechanical hand and simple power tools

Pay Range: $27.50/hr to $38.50/hr

Participation in Annual Incentive Program

Comprehensive coverage for medical, prescription drugs, dental, vision, voluntary optional life, accident insurance, hospital indemnity insurance and critical illness insurance with competitive premium cost.

401(k) Plan with company matching contributions at 100% of the first 5% of pay.

Company provided defined-contribution retirement plan with annual contribution equal to 3% of pay.

Career development and tuition reimbursement.

Other benefits including paid parental leave, short and long-term disability programs, adoption assistance, a Care.com membership and financial planning assistance are provided at no cost to you.

Supplemental benefit programs including identity protection, legal protection, and pet wellness are available at competitive rates.

Paid Time Off and Company-Paid Holidays.

In this position you will work from 6:00AM - 2:30PM EST.

U.S. Citizenship or have U.S. Permanent Resident Status required.

GED or High School Diploma required.

6+ years of hands-on machine shop experience.

Ability to perform basic math, reading, writing and computer skills such as basic addition, subtraction, multiplication, and use of Microsoft Office.

Ability to lift and or move up to 40 lbs.

All applicants seeking employment with Parker will be subject to drug testing as a condition of employment.

$23.76-$29.35

2nd shift (M-F, 2:30pm-11:00pm)

High School of Vocational School Diploma and/or GED required.

0-2 years of experience related production experience in a manufacturing environment.

Requires mechanical aptitude.

Must be able to understand specifications and use measuring instruments with assistance.

Basic math skills are required to perform necessary job functions.

An understanding of basic measuring equipment (micrometers, calipers).

May require the use of fork trucks, overhead cranes, hand carts and hand tools. Must be capable of obtaining a fork truck license and/or overhead crane license

Must obtain a lockout/tagout certification

Must have the ability to keep neat and accurate records

Position requires direct contact on the manufacturing floor and requires ambulation

The selection of the person to be hired for this position is contingent on the candidate having export compliance eligibility for access to U.S. controlled technology which comes under the licensing jurisdiction of the U.S. Department of State, International Traffic in Arms Regulations (ITAR) and the U.S. Department of Commerce, Export Administration Regulations (EAR).

The candidate selected will have to qualify as either a U.S. citizen, a U.S. National, a lawful permanent resident of the U.S., a Person Admitted into the U.S. as an Asylee or Refugee., a National of a country that is not prohibited from having access to U.S. controlled technology (via a letter of assurance), or a Person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on Materion's determination that it will be able to obtain an export license in a time frame consistent with Materion's business requirements.

Demonstrated mechanical aptitude with some machining experience is a plus.

$67,133.00 - $100,699.00

24 hours

Biomedical researcher with specialized training in quantitative methodology and a research focus on the biology of aging

Requires familiarity with statistical analysis, software development, visualization, algorithm development, supervised and unsupervised learning, and predictive analytics.

Advanced skills in data management, manipulation, and summarization are critical, particularly for harmonizing DNA methylation and other omics datasets across multiple cohorts into standardized, reproducible analytic platforms.

Requires a doctoral degree in a quantitative biomedical science field such as bioinformatics, biostatistics, quantitative epidemiology, computational neuroscience, statistical genetics, econometrics, systems biology, or data science, with at least 2 years of experience as a professional quantitative scientist (postdoctoral research training in a related quantitative field will satisfy this requirement). Experience equivalent to academic training may be substituted in relevant cases.

Knowledge of statistical and quantitative modeling (regression / GLM / GAM, simulation, cluster analysis, neural networks, decision trees, bagging, boosting, dynamical systems modeling, etc.); demonstrated proficiency in R and/or Python for large-scale DNA methylation and other omics data processing.

Specialized training and experience in more than one quantitative programming language (R/Python/Matlab) is essential.

Ability to manage, manipulate and clean complex multi-omic data structures, including DNA methylation and other aging biomarker datasets drawn from multiple independent cohorts.

Ability to conduct statistical, machine learning and predictive analyses including benchmarking and validation of aging biomarkers such as epigenetic clocks.

Ability to formulate research questions and testable hypotheses in aging biology, and to design analyses that address them.

Ability to develop exploratory analyses and analytic summaries in visual and written form.

Ability to speak and present in English to communicate scientific results.

A sustained record of peer-reviewed publication, including first-author work

Strong oral and written English language skills

Skills in natural language processing and emerging AI-assisted data harmonization tools are a plus.

Existing, or ability to develop, comfort with rigorous version control and the principles of reproducible research are required.

Experience developing and maintaining harmonized, multi-dataset analytic platforms, and benchmarking or validating aging biomarkers across cohorts, is highly valued.

Experience contributing to team leadership in quantitative analysis or machine learning is helpful.

Experience with database technologies (SQL, REDCap) is helpful.

Familiarity with emerging AI-agent-based and foundation-model approaches to biomedical data harmonization is a plus.

Experience with web services and distributed computing tools is preferred.

Experience using high performance computing systems running Linux or UNIX OS and experience with cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are a plus.

Hands-on experience in aging and geroscience research, including epigenetic clocks or multi-omic aging biomarkers, are strongly preferred.

Starting salary range of $82,560 to $103,200 per year

Bachelor's degree or equivalent purchasing/operations experience

Cross category purchasing experience (e.g machined, fabricated, cable assemblies, electronics, etc.)

Must be proficient in MS Excel (e.g. Pivot tables, LOOKUP functions, sorting, formula development, etc.)

Proficiency with AI chatbots such as MS Copilot

Experience with Kanban inventories

Must be proficient in enterprise level inventory planning, product lifecycle, supply chain intelligence, and collaboration software (e.g. SAP, IFS, Agile, PDM, SharePoint, etc.)