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MercyOne North Iowa is the largest provider of health care services in our region, and we are proudly the largest employer in Cerro Gordo County. Our hospital is a private, not-for-profit health care center, licensed for 346 beds, which serves more than 400,000 inpatients and outpatients each year. In addition, MercyOne North Iowa is a teaching institution. We conduct a Family Medicine Residency, Internal Medicine Residency, Cardiology Fellowship, Hospice and Palliative Medicine Fellowship, PGY1 Pharmacy Residency and a School of Radiologic Technology. MercyOne North Iowa is a clinical training site for approximately 500 students from 127 different colleges enrolled in programs for medical laboratory, nursing, paramedic, rehabilitation, medical assistants, pastoral services, physicians and many other medical fields.
Join the MercyOne Family! We are looking to hire a Clinic Nurse (LPN)/Medical Assistant for MercyOne Clear Lake Pediatric and Adolescent Care.
As a Clinic Nurse (LPN)/Medical Assistant at MercyOne, you will
- Escorts patients to exam rooms. Obtains and documents data to include but not limited to chief complaint, allergies, vital signs, pain level, medication history, and fall risk. Obtains and reviews basic health history information. Anticipates and prepares exam room with equipment and supplies required for the visit. Assists with exam/procedures as requested.
- Utilizes written Mercy Medical Center-North Iowa policies and procedures, and universal precautions when performing laboratory/diagnostic tests. Reports and documents all critical lab/diagnostic test values to the provider. Performs, maintains and documents quality controls as applicable/requested (i.e., logs, proficiency test, maintenance records, etc).
- Assists in scheduling patient for office appointments, lab/diagnostic tests/referrals. Reviews written test preparation handout with patient and documents in medical record. Refers patient to provider/registered nurse if education is required.
- Completes charge ticket/submits charges in an electronic health record to include and obtain the diagnosis from the provider, identifying and initialing all billable supplies and services. Obtains ABN per e-LMRP as necessary.
Schedule:
Full Time
Days 8a-5p
General Requirements:
Medical Assistant
Graduate of an approved school for medical assistant required.
Credentialed as a medical assistant is required (CMA, RMA, NCMA). CCMA certification is accepted with successful completion of a training program
A minimum of six months work experience in a health care facility performing duties relating to patient care is preferred. Additional experience involving computer knowledge.
Must provide proof of Basic Life Support (BLS Healthcare Provider, American Heart Association; or American Red Cross, Professional Rescuer-LIVE class only) via current card prior to employment or within 60 days of hire and maintains current status.
Completes Mandatory Reporting: Child and Dependent Adult Abuse requirement within 6 months of hire and renews this requirement every 3 years.
LPN
Graduate of a school of nursing is required.
A current Iowa License as a Practical Nurse or Registered Nurse is required.
Nurse may be required based on Department needs.
Must provide proof of Basic Life Support (BLS Healthcare Provider, American Heart Association; or American Red Cross, Professional Rescuer-LIVE class only) via current card prior to employment or within 60 days of hire and maintains current status.
Completes Mandatory Reporting: Child and Dependent Adult Abuse requirement within 6 months of hire and renews this requirement every 3 years.
Colleagues of MercyOne Health System enjoy competitive compensation with a full benefits package and opportunity for growth throughout the system!
Visit MercyOne Careers to learn more about the benefits, culture, and career development opportunities available to you at MercyOne Health System circle of care.
Our Commitment
Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are 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, disability, veteran status, or any other status protected by federal, state, or local law.
Urgent need for a Psychiatrist for a Locums practice in New YorkCoverage dates: ASAP
- 12/31/2022Schedule is from Monday-Friday.On-call weeknights/weekends 1:4 but negotiable.Boarded preferred, at the least must be BE with NY license.Located near Lake Clear,NY.If you are interested in hearing more about this opportunity, please call or text MD Staff at .
You can also reach us through email at .
Please reference Job ID # j-72702.
Locums opportunity for a General Surgeon in NYSpecialty: Surgery-GeneralCoverage Dates: 4/1/2022
- 9/29/2022Shift Time Type: 12H Rotating D/E.
On-call is busy, some nights with no sleep.
Physician works 24 hour on-call 10-11 shifts per monthAfter 48 hrs of call must have 24 hours off, then back on for 2 days and off again for 1day and soLocated near Lake Clear,NYIf you are interested in hearing more about this opportunity, please call or text MD Staff at .
You can also reach us through email at .
Please reference Job ID # j-54024.
Locums opportunity for a General Surgeon in NY Specialty: Surgery-General Coverage Dates: 4/1/2022
- 9/29/2022 Shift Time Type: 12H Rotating D/E.
On-call is busy, some nights with no sleep.
The physician works 24-hour on-call 10-11 shifts per month After 48 hrs of call must have 24 hours off, then back on for 2 days and off again for 1day and so Located near Lake Clear, NY If you are interested in hearing more about this opportunity, please call or text MD Staff at .
You can also reach us through email at .
Please reference Job ID # j-54024.
Locums opportunity for a Hospitalist in New York Specialty: Hospitalist Coverage Dates: 3/14/2022
- 9/30/2022 The physician will be working 12 hours per day.
Shift is from 7 am-7 pm.
30 shifts per month.
Service routinely has 5-6 physician working 7a to 7p.
1 physician working 12pm
- 12am and 1 physician working 7pm-7am.
Codes 7a-5p are covered by ICU attending, ED physician and the hospitalist or attending of record.
During the night shift the hospitalist and ED physician cover.
Located near Lake Clear,NY If you are interested in hearing more about this opportunity, please call or text MD Staff at .
You can also reach us through email at .
Please reference Job ID # j-53957.
Seeking for a Urologist to join a locums practice in New York Specialty: Urology Coverage dates: 3/14/2022
- 12/30/2022 Physician works Monday Friday, 8:00 am 5:00 pm with 4 days outpatient and 1 day OR.Weeknight and weekend call is 1:3 and moderate.
Shift Time Type: 8H Days Physician must be able to practice bread and butter urology including TURP, TURBT, circumcisions and ureteroscopies.
Physician must be proficient with the Holmium laser and the Yag/Co2 laser Located near Lake Clear,NY If you are interested in hearing more about this opportunity, please call or text MD Staff at .
You can also reach us through email at .
Please reference Job ID # j-55178.
Why Deliver with DoorDash?
DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day. As a Dasher, you'll stay busy with a variety of earnings opportunities and can work when it works for you. Whether you're looking for a side hustle or a full-time gig, delivering with DoorDash gives you the opportunity to earn extra cash on your terms.
- Multiple ways to earn:Whether you're delivering meals, groceries, or retail orders, DoorDash offers diverse earning opportunities so you can maximize your time.
- Total flexibility:Dash when it works for you. Set your own hours and work as much—or as little—as you want.
- Know how much you'll make:Clear and concise pay model lets you know the minimum amount you will make before accepting any offer.
- Instant cash flow:Get paid the same day you dash with DoorDash Crimson*. No deposit fees, no waiting.
- Quick and easy start:Sign up in minutes and get on the road fast.**
- Simple Process:Just pick up, drop off, and cash out. Payday is in your back pocket.
Basic Requirements
- 18+ years old*** (21+ to deliver alcohol)
- Any car, scooter, or bicycle (in select cities)
- Driver's license number
- Social security number (only in the US)
- Consistent access to a smartphone
How to Sign Up
- Click "Sign UpApply Now" and complete the sign up process
- Download the DoorDash Dasher app and go
*Subject to eligibility requirements and successful ID verification. The DoorDash Crimson Deposit Account is established by Starion Bank, Member FDIC. The DoorDash Crimson Visa Debit Card is issued by Starion Bank.
**Subject to eligibility..
***Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia
Additional information
Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig. Deliver with DoorDash and earn extra cash while being your own boss. Dash when it works for you. Sign up today.
In this role, you'll help keep our production systems running safely and efficiently. You'll install, repair, calibrate, and maintain the controls and instrumentation that support our food processing operations. You'll also help troubleshoot issues, support preventive maintenance, and contribute to projects that improve our equipment and processes.
What You'll Do
• Install, maintain, and calibrate controls and instrumentation used in food production.
• Develop PLC programs and help design SCADA control system architecture.
• Troubleshoot equipment issues, identify root causes, and make effective repairs.
• Complete both scheduled and unscheduled repairs on plant equipment.
• Read and understand equipment manuals, electrical drawings, P&IDs, and work orders.
• Safely operate utility systems (steam, ammonia, compressed air, electrical, water, etc.).
• Complete corrective action tasks within 30 days.
• Use and handle chemicals safely while wearing proper protective equipment.
• Lead and manage large controls projects-from building and programming to testing.
• Maintain training required to serve on the emergency response team.
• Follow all food safety and GMP requirements to ensure product quality.
• Respond quickly to production floor controls requests to prevent lost production time.
What You Bring
• Strong technical skills
• Good problem solving ability
• Clear communication
• Comfort using computers
• Ability to manage your time and take initiative
Work Environment
You'll work in a mix of office, shop, and production plant settings. You may occasionally be exposed to:
• loud noise
• moving mechanical parts
• temperature changes
• fumes or airborne particles
• vibration
Schedule
This is a full time night shift position.
You'll work 11-12 hour shifts on an alternating schedule that includes weekends and holidays.
This role also participates in an on call rotation.
Travel
Minimal-less than 5%.
Required Education & Experience
• High school diploma or GED
• Associate degree in a related technical field OR equivalent years of controls experience
• Basic computer skills
Preferred Qualifications
• Knowledge of ammonia refrigeration systems
• Ability to speak both English and Spanish
Additional Requirements
• Must be at least 18 years old
• Must have a valid driver's license (or be able to obtain one before starting)
Other Notes
We are currently expanding our team and hiring a Retail & Events Sales Representative to support our growing customer acquisition campaigns. This role focuses on representing our client in retail locations and local promotional events, helping customers learn about new services and guiding them through the enrollment process.
This is a great opportunity for someone looking to build experience in sales, marketing, brand promotions, and customer engagement. Our team provides hands on training, mentorship, and clear opportunities for advancement into leadership and management roles.
What You’ll Do
- Engage with customers face to face in retail environments and community events
- Represent our client professionally while promoting telecommunications services
- Educate customers on available service options, bundles, and current promotions
- Conduct product demonstrations and explain key features and benefits
- Assist customers through the sign up and enrollment process
- Build relationships with customers and create positive brand experiences
- Track daily interactions and maintain accurate records in CRM systems
- Participate in team training sessions focused on sales, communication, and leadership development
What We Offer
- Paid training and ongoing professional development
- Base salary plus commission and weekly performance bonuses
- Opportunities for advancement into team leadership and management
- Company travel opportunities and team outings
- Supportive, high energy team culture focused on growth
Qualifications
- Strong communication and interpersonal skills
- Comfortable working with customers in a fast paced environment
- Motivated, coachable, and goal oriented mindset
- Background in retail, hospitality, customer service, events, or sales is a plus but not required
If you enjoy working with people, representing exciting brands, and building valuable sales and marketing skills, we encourage you to apply and learn more about joining our growing team.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Title: Machine Learning Engineer
Location: San Jose, CA
Responsibilities:
- Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
- Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
- Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
- Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
- Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
- Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
- Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.
Educational Qualifications:
- Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
- Strong systems/ML engineering with exposure to distributed training and inference optimization.
Industry Experience:
- 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
- Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
- Experience collaborating across Research, Platform/Infra, Data, and Product functions.
Technical Skills:
- Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
- Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
- Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
- Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
- Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
- Write performant, maintainable code
- Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Remote working/work at home options are available for this role.
