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implementation scientist iquest assistant professor

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Center for Innovations in Quality Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center and Baylor College of Medicine is seeking a talented individual for a full-time position as an Implementation Scientist. IQuESt is the largest center for Health Services Research within the Southwest. We conduct high-quality scientific research that improves the health of patients across the nation, by helping to ensure the patient-centered delivery of scientific discoveries. This Implementation Scientist position will support multiple research and implementation projects as part of the Implementation Science and Innovation Program. Members translate health care innovations within learning health care systems, advance and apply concepts and methods of implementation science, and lead healthcare improvement locally and nationally.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Secure external funding as PI or a co-PI on projects related to population health sciences (e.g., behavioral interventions, health services research, implementation of best practices)</li><li>
Provide dissemination and implementation (D&amp;I) methodological advising and expertise to other investigators/projects</li><li>
Support interdisciplinary collaboration</li><li>
Serve as a co-investigator and mentor on D&amp;I grants providing D&amp;I science expertise and supporting the professional development of future implementation scientists and practitioners</li><li>
Participate in teaching D&amp;I seminars, workshops, and courses</li><li>
Collaborate actively and be a core member of the IQuESt Implementation Science &amp; Innovations Program</li><li>
Participate in the intellectual life of IQuESt and Baylor College of Medicine, via faculty committees, professional development activities, and department service opportunities.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
A PhD, DrPH, or equivalent research doctoral degree in a relevant discipline (completed by start date).</li><li>
Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding.</li><li>
Demonstrated publication record.</li><li>
Demonstrated experience as an educator.</li><li>
Ability to mentor/ coach post-doctoral fellows.</li><li>
Highly self-motivated individual, enthusiastic about scientific discovery, and able to collaborate closely and effectively with other team members.</li><li>
Commitment to diversity, equity, and inclusion in the department, healthcare system, and community.</li></ul> 
If interested in this position, please forward the following documents to Kyler Godwin, PhD (kyler.godwin@bcm.edu) and include: 
<ul><li>
Statement of interest and qualifications (include a description of past research accomplishments, plans for future research, and experience and approach to supporting a diverse and inclusive environment).</li><li>
CV which includes contact information.</li></ul></div></div></div> 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</div>

Implementation Scientist, IQuESt (Assistant Professor)

Quest Diagnostics

<div>Medical Laboratory Scientist I - Houston, TX, Monday to Friday, 5:00 AM to 1:30 PM

Are you intrigued by the science of the human body? Curious about state-of-the-art laboratory instrumentation? Looking to join a Fortune 500 company leading the world in providing diagnostic information services? Quest Diagnostics is now recruiting for technologist positions ranging from entry level to experienced, with a wide range of benefits and training! 


Pay range: $29.50+ per hour

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. 


Benefits information: 
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects &ndash; physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
<ul>
<li>Day 1 Medical, supplemental health, dental &amp; vision for FT employees who work 30+ hours</li>
<li>Best-in-class well-being programs</li>
<li>Annual, no-cost health assessment program Blueprint for Wellness&reg;</li>
<li>healthyMINDS mental health program</li>
<li>Vacation and Health/Flex Time</li>
<li>6 Holidays plus 1 &quot;MyDay&quot; off</li>
<li>FinFit financial coaching and services</li>
<li>401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service</li>
<li>Employee stock purchase plan</li>
<li>Life and disability insurance, plus buy-up option</li>
<li>Flexible Spending Accounts</li>
<li>Annual incentive plans</li>
<li>Matching gifts program</li>
<li>Education assistance through MyQuest for Education</li>
<li>Career advancement opportunities</li>
<li>and so much more!</li>
</ul><div><div><div><div>Quest Diagnostics honors our service members and encourages veterans to apply. 
 
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. 
 
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.</div>
</div> 
</div></div>Job Responsibilities: 

<ul>
<li>Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result.</li>
<li>Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens.</li>
<li>Analyze specimens using approved testing procedures.</li>
<li>Review and release test results.</li>
<li>Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines.</li>
<li>Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance.</li>
<li>Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor.</li>
</ul>
Education: 
BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493 


Work Experience: 
1 year Clinical experience (high complexity testing) preferred. 


MLS, Medical Laboratory Scientist, Medical Lab Scientist, Med Tech, Medical Technologist, CLS, Clinical Lab Scientist</div>

Medical Laboratory Scientist I

MD Anderson Cancer Center

<div>We seek a talented, energetic, and collaborative Molecular Modeling Scientist to conduct both routine and novel analyses as part of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With experience in structural prediction, comparative modeling, and emerging generative models, the Molecular Modeling Scientist will contribute to the discovery of novel cancer therapeutics as part of A3D3a. 
 
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. 
 
Central to this vision, the Molecular Modeling Scientist will leverage state-of-the-art macromolecular modeling techniques and, collaboratively with senior scientists, develop innovative data science approaches to answer structural questions about and nominate therapeutic targets. Additionally, physics-based modeling may also compliment structural informatics and generative AI efforts. The preferred candidate should have at least an MSc in Chemistry, Biochemistry, Computer Science, or a related field. A strong background in computational modeling and a willingness to learn new approaches is critical to this role. 
 
The ideal candidate will be an experienced computational scientist with strong Python-based scientific computing skills and expertise in cheminformatics, generative AI, and molecular modeling-capable of building predictive ML models, generating and analyzing macromolecular structures, leveraging tools such as PyTorch, Modeller, Rosetta, and MD packages, and contributing effectively to multidisciplinary research through rigorous documentation, scientific communication, and efficient project management.
 
 
JOB RESPONSIBILITIES:
 
<ul><li>Generate comparative macromolecular models of potential therapeutic targets</li><li>Build and apply machine/deep learning models to predict structural properties</li><li>Analyze ensembles of structures through techniques such as clustering</li><li>Document work thoroughly</li><li>Produce output for scientific publications and contribute to said publications</li><li>Present results at multidisciplinary project meetings as well as external meetings</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.
</li><li>Expertise in scientific computing using Python in a Unix environment</li><li>Proficient with generative AI for structure prediction; familiar with PyTorch.</li><li>Proficiency with Modeller, Rosetta, or other classical comparative modeling tools</li><li>Experience with OpenMM, AMBER, or comparable MD tools</li><li>Experience with molecular visualization tools (i.e., PyMol, VMD)</li><li>Familiar with basic statistical testing</li></ul> 
Other duties as assigned. 
 
EDUCATION:
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 
Preferred: Master's or PhD Degree Science, Engineering or related field. 
 
EXPERIENCE: 
Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year. With PhD, no experience required. 
Preferred: Proficent with PyTorch. Profient with comparative modeling tools. 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179242
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul> 
#LI-Hybrid</div>

Data Scientist Molecular Modeling

The Jupiter Group, Inc

<div>
 
 &bull; This role is for a Data Scientist in the Supply Chain &amp; Manufacturing domain, with specific experience in areas like retail supply chain, inventory planning, and forecasting. The team is focused on predictive analytics and machine analytics, building real forecasting and ML models rather than just operating existing tools. GenAI and LLMs are being explored, but they are not mature yet and not the main focus of the role today.
 
 
 &bull; The team is currently working with KumoAI (recommendation software). They are building systems around inventory forecasting and vendor recommendation, and want to take those solutions further. Inventory planning is a key business problem they&rsquo;ve already solved once and are now enhancing with more advanced ML and deep learning approaches.
 
 
 &bull; They are looking for someone who has hands-on experience building different types of forecasting models and machine learning models in Python, not someone who only consumes models or uses black-box solutions. The expectation is that this person has designed their own models from scratch and productionized them using platforms like AWS and Databricks. They&rsquo;ve even built internal software for forecasting that the business can directly use.
 
 
 &bull; From a technical perspective, they want strong experience in deep learning for time series forecasting, especially for inventory forecasting and planning. There is very little NLP involved, so this is not an NLP-heavy role. The profile leans more toward a Full Stack Data Engineer / Data Scientist hybrid &mdash; someone who understands data pipelines, modeling, and deployment end-to-end.
 
 
 &bull; They specifically do not want black-box model users. They need someone who understands what is happening inside the models, can tune and improve them, and apply them directly to real business problems.
 
 
 
</div>

Data Scientist

<div>We seek a talented, energetic, and collaborative AI-driven Data Scientist to develop data science tools and predictive algorithms as part of the development of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in Machine Learning and Deep Learning, the Data Scientist will inform our mission to discover novel therapeutic opportunities for cancer patients. 
 
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. 
 
Central to this vision, the Data Scientist will innovate and deploy Machine Learning and Deep Learning approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists, and clinicians. 
 
The ideal candidate has strong hands-on experience with machine learning, deep learning, and large language models, and is comfortable using tools like TensorFlow, Keras, and scikit-learn. They can address challenges such as data bias and imbalance, have solid programming skills in Python or similar languages, and possess a strong understanding of statistical methods. This person enjoys solving complex problems and developing practical AI solutions that make a meaningful impact.
 
 
What We Offer? 
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul> 

JOB RESPONSIBILITIES: 
<ul><li>Build data science tools and predictive algorithms focusing on state-of-art machine learning models</li><li>Develop novel deep learning approaches and utilizing Large Language Models and Graph Neural Networks for cancer data</li><li>Maintain knowledge of cutting-edge machine learning approaches and technologies and implement these where appropriate</li><li>Perform data wrangling and preparation for deep learning analysis</li><li>Perform statistical analysis</li><li>Produce output for scientific publications and co-author said publications</li><li>Prepare written reports, manuscripts, and grant applications with investigators</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.</li><li>Other Duties as assigned.</li></ul> 

EXPECTED SKILLS:
 
<ul><li>Machine Learning (e.g., Na&iuml;ve Bayes, Random Forests, Support Vector Machines, etc.)</li><li>Deep Learning (e.g., Convolutional Neural Networks, Graph Neural Networks, Autoencoders, etc.)</li><li>LLM (fine-tuning, multi-agents)</li><li>Addressing challenges in Machine Learning / Deep Learning as well as mitigation strategies including data bias, imbalance, and model validation approaches</li><li>Machine-learning platforms (e.g., TensorFlow, sklearn, Keras, etc.)</li><li>Unix, Python, R/Matlab, or other scripting/programming languages</li><li>Excellent working knowledge of statistical methods and tests</li></ul> 

EDUCATION: 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 
Preferred: Master's or PhD in Science, Engineering or related field. 
 
EXPERIENCE: 
Required: Three years scientific software or industry development/analysis experience. With Master's degree one year. With PhD, no experience required. 
Preferred: Machine Learning, Large language model, AI Agent and/or Biomedical Research is a plus.
 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179340
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul> 
#LI-Hybrid</div>

AI Computational Data Scientist

Andiamo

<div>
 Senior Machine Learning Scientist, Foundation Models for Time Series and Sensors
 
 
 We are looking for a Machine Learning Scientist who is excited by the challenge of teaching machines to understand the physical world through data. This role focuses on building large scale foundation models that learn deep representations from time series, sequential sensor streams, and other complex signals, with direct application to industrial, scientific, and real world systems.
 
 
 
 About The Role
 
 
 
 In this position, you will design, train, and deploy self supervised and semi supervised learning systems that operate across time series, sensor data, vision, and text. Your work will enable advanced capabilities such as anomaly and event detection, predictive maintenance, forecasting, classification, and sensor fusion. You will help define the next generation of intelligent systems that operate reliably in noisy, high consequence environments.
 
 
 What You Will Work On
 
 
 <ul>
 <li>
 Develop large scale foundation models that learn transferable representations from sequential and sensor based data
 </li>
 <li>
 Apply self supervised learning techniques to unlock value from unlabeled and weakly labeled datasets
 </li>
 <li>
 Fine tune and adapt pretrained models for specialized downstream tasks across industrial and scientific domains
 </li>
 <li>
 Design systems that combine time series, images, audio, text, and structured data into unified learning architectures
 </li>
 <li>
 Collaborate with domain experts to ensure models align with real world constraints and objectives
 
 
 </li>
 </ul>
 Data and Signal Processing Expertise
 
 
 <ul>
 <li>
 Process and analyze univariate and multivariate time series from domains such as industrial systems, IoT, finance, healthcare, or scientific instrumentation
 </li>
 <li>
 Perform data augmentation, feature extraction, resampling, and noise handling for real world sensor streams
 </li>
 <li>
 Work with diverse sensor modalities including vibration, temperature, accelerometers, audio, imagery, and more
 </li>
 <li>
 Handle synchronization challenges, variable sampling rates, and imperfect data collected in operational environments
 
 
 </li>
 </ul>
 Machine Learning and Model Development
 
 
 <ul>
 <li>
 Build models using sequence focused architectures such as recurrent networks, temporal convolutional networks, and transformer based systems
 </li>
 <li>
 Apply contrastive learning, masked prediction, temporal forecasting objectives, and multimodal alignment techniques
 </li>
 <li>
 Leverage transfer learning, adapter based methods, and few shot strategies for efficient adaptation
 </li>
 <li>
 Evaluate models using both technical metrics and end user or business driven performance indicators
 
 
 </li>
 </ul>
 Software and Training Infrastructure
 
 
 <ul>
 <li>
 Develop high performance pipelines in Python using scientific and data libraries
 </li>
 <li>
 Optimize components with C++ or CUDA when needed for large scale preprocessing or training
 </li>
 <li>
 Train models using modern deep learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Scale training across multiple GPUs and nodes using distributed and mixed precision techniques
 </li>
 <li>
 Build reliable data pipelines for ingesting, cleaning, segmenting, and aligning massive sensor datasets
 
 
 </li>
 </ul>
 Mathematical and Algorithmic Foundations
 
 
 <ul>
 <li>
 Strong grounding in linear algebra, probability, statistics, and optimization
 </li>
 <li>
 Experience with signal processing methods such as Fourier analysis, wavelets, filtering, and time frequency techniques
 </li>
 <li>
 Familiarity with numerical methods for modeling dynamic systems and solving inverse problems
 
 
 </li>
 </ul>
 Collaboration and Communication
 
 
 <ul>
 <li>
 Work closely with engineers, researchers, product leaders, and end users from technical and non technical backgrounds
 </li>
 <li>
 Clearly explain model behavior, uncertainty, and tradeoffs to diverse audiences
 </li>
 <li>
 Contribute to documentation, design discussions, and technical decision making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field
 </li>
 <li>
 Three or more years of hands on experience in machine learning, data science, or applied AI
 
 
 </li>
 </ul>
 This role offers the opportunity to work at the frontier of foundation models for time series and sensor data, solving problems that matter in the physical world and shaping systems that operate at scale in complex, real environments.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Data Scientist - Drilling - Global Energy Tech Company

Houston Methodist

<div>At Houston Methodist, the Physician Assistant (PA) (ACLS) functions as an advanced practice practitioner, responsible for maintaining and promoting the health of the patient requiring care, practicing medicine under the supervision of a licensed physician. This position will provide diagnostic, therapeutic, surgical and preventative care, under the supervision of a physician. The PA (ACLS) position exams, diagnoses and decides treatment for patients, including analyzing and interpreting x-rays and lab results, writes prescriptions, takes patients' histories, provides surgical assistance, and orders various forms of therapy. This position may work in both inpatient and outpatient situations and can perform independently under the license of a physician or as part of a treatment team. The PA (ACLS) position affects direct patient care according to the Board of Physician Assistant Examiners in the State of Texas and Houston Methodist policies and procedures.
<div>FLSA STATUS 
Exempt 
 
QUALIFICATIONS 
 
EDUCATION<ul><li>
Bachelor&rsquo;s degree
</li><li>Graduate from accredited Physician Assistant program by National Commission on Certification of Physician Assistants (NCCPA)
</li></ul> 
EXPERIENCE<ul><li>
One year of clinical experience
</li></ul> 
LICENSES AND CERTIFICATIONS 
Required<ul><li>
PA - Physician Assistant - State Licensure - Texas Department of Licensing and Regulation_PSV by the Texas Board of Physician Assistants and</li><li>
PA-C - Physician Assistant-Certified (NCCPA) - National Commission on Certification of Physician Assistant_PSV and</li><li>
BLS - Basic Life Support or Instructor (AHA) - American Heart Association and</li><li>
ACLS - Advanced Cardiac Life Support or Instructor (AHA) - American Heart Association and</li><li>
DEA - Narcotics License (DEA) - Drug Enforcement Administration_PSV within 6 months
</li></ul> 
KNOWLEDGE AND ABILITIES<ul><li>
Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations
</li><li>Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
</li><li>Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
</li><li>Use of critical thinking skills and clinical judgment to work autonomously as defined by the Board of Physicians Assistants
</li><li>Accepts accountability for outcomes in healthcare
</li><li>Uses therapeutic communication to establish a relationship with patients, families and interprofessional team to collaborate on the plan of care
</li><li>Strong organizational and problem-solving skill as evidenced by capacity to prioritize multiple tasks and role components
</li><li>Ability to exercise judgment in interactions with physicians, interprofessional care team and patients and their families
</li>Demonstrates proficient time management skills 
<li>
</li></ul> 
 
ESSENTIAL FUNCTIONS 
 
PEOPLE ESSENTIAL FUNCTIONS<ul><li>
Demonstrates leadership as a clinical resource, inter-professional consultant, and patient advocate. Participates in rounding independently or with physicians/surgeons and attends interdisciplinary rounds, as appropriate, by specialty.
</li><li>Collaborates to foster healthy relationships in the work environment. Acts as a role model and coaches staff in effective verbal, non-verbal and written communication. May serve as first call for hospital staff. Serves as preceptor for Physician Assistant students and medical residents, as appropriate.
</li><li>Communicates organizational information and aspects of administrative and clinical practice in a respectful and positive manner when interacting with staff. Advocates for a balanced workload, promotes positive behaviors, and peer-to-peer accountability. Facilitates the promotion of teamwork. Uses peer-to-peer accountability towards improvement of department score for employee engagement.
</li><li>Collaborates with inter-professional health care team members to manage/coordinate patient care. Advocates on patient/family&rsquo;s behalf to identify and resolve clinical and ethical concerns.
</li></ul> 
SERVICE ESSENTIAL FUNCTIONS<ul><li>
Coordinates appropriate, timely patient care between health care providers and other ancillary clinicians, as appropriate, under a physician license, for a defined patient population(s), focusing on identified expected unit/optimal outcomes, individualized to the patient. Helps drive improvement of department score for patient satisfaction, through peer-to-peer accountability to service standards.
</li><li>Collaborates quality health care with inter-professional team members to manage/coordinate patient care.
</li><li>Responds and is available timely to patient questions/issues that arise as triaged by clinical staff and provides assistance for emergencies, as needed.
</li></ul> 
QUALITY/SAFETY ESSENTIAL FUNCTIONS<ul><li>
Performs independent or delegated functions under physician license, such as diagnosis, use of prescriptive authority, and treatment according to practice guidelines, protocols, and/or standing orders.
</li><li>Reviews medications and test reports on patients, responds to critical test results, and advises on any corrective action based on the results.
</li><li>Conducts comprehensive health assessments (initial, ongoing, discharge), identifies normal/abnormal health characteristics, develops plan of care, initiates appropriate interventions, and evaluates care outcomes on defined patient populations. Performs quality and safe diagnostic, surgical and/or therapeutic procedures necessary for defined patient populations.
</li><li>Assists the inter-professional health care team in the development and implementation of protocols to ensure patient safety. Integrates and contributes to professional practice standards, policies, procedures, protocols and leads improvements in patient safety-related processes.
</li></ul> 
FINANCE ESSENTIAL FUNCTIONS<ul><li>
Performs accurate and timely documentation in medical records, including diagnosis and CPT coding.
</li><li>Implements department strategies to achieve financial target and mentors others to do the same through timely documentation of care, decreasing length of stay, optimizing efficiency, and other areas according to department specifications. Projects awareness and understanding of resource allocation based on patient needs and staff experience, knowledge, and skills.
</li></ul> 
GROWTH/INNOVATION ESSENTIAL FUNCTIONS<ul><li>
Fosters identification and implementation of innovative solutions to improve patient care or department operations such as the organization&rsquo;s quality metrics or other department-specific measures by leading and/or participating in department and/or hospital projects/activities or a hospital committee.
</li>Provides education of information/knowledge in professional activities such as research, presentations, and publications. Expands individual nursing knowledge and coaches staff to grow in knowledge, abilities, skills, and attitudes. Ensures own career discussions occur with appropriate management. Completes and updates the My Development Plan on an ongoing basis. 
<li>
</li></ul> 
 
SUPPLEMENTAL REQUIREMENTS 
<ul>
WORK ATTIRE<li><ul><li>
Uniform: No
</li><li>Scrubs: Yes
</li><li>Business professional: Yes
</li><li>Other (department approved): Yes
</li></ul></li> 
ON-CALL* 
<li><ul><li>Note that employees may be required to be on-call during emergencies (ie. Disaster, Severe Weather Events, etc) regardless of selection below.</li></ul></li><li><ul><li>
On Call* Yes
</li></ul></li> 
TRAVEL** 
**Travel specifications may vary by department**<li><ul><li>
May require travel within the Houston Metropolitan area Yes
</li><li>May require travel outside Houston Metropolitan area Yes
</li></ul></li></ul></div>QUALIFICATIONS 
 
EDUCATION<ul><li>
Bachelor&rsquo;s degree
</li><li>Graduate from accredited Physician Assistant program by National Commission on Certification of Physician Assistants (NCCPA)
</li></ul> 
EXPERIENCE<ul><li>
One year of clinical experience
</li></ul> 
LICENSES AND CERTIFICATIONS 
Required<ul><li>
PA - Physician Assistant - State Licensure - Texas Department of Licensing and Regulation_PSV by the Texas Board of Physician Assistants and</li>
<li>PA-C - Physician Assistant-Certified (NCCPA) - National Commission on Certification of Physician Assistant_PSV and</li>
<li>BLS - Basic Life Support or Instructor (AHA) - American Heart Association and</li>
<li>ACLS - Advanced Cardiac Life Support or Instructor (AHA) - American Heart Association and</li>
DEA - Narcotics License (DEA) - Drug Enforcement Administration_PSV within 6 months 
<li>
</li></ul> 
Company Profile:
Houston Methodist Specialty Physician Group is an integral part of Houston Methodist&rsquo;s overall strategy to become one of the nation&rsquo;s leading academic medical centers. Established as a nonprofit corporation certified by the Texas State Board of Medical Examiners, the Specialty Physician Group enables physicians to maintain autonomy with respect to clinical practice while growing their practice within an academic environment.
Houston Methodist is an Equal Opportunity Employer.</div>

Physician Assistant - Heart and Lung Transplant Surgery

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