date:20150421

Re: [NMusers] variation of time values in output data

2015-04-21 Thread Diane-Charlotte Imbs

Thank you, Leonid, for your answer but you can see (below) it’s not a
rounding issue ; there are udge variations of time ?!!!


*INPUT FILE :*



ID   DATE TIME  DV  AMT
RATE MDV  EVID

3 1 00
2000-2  1 1

3 1 2.6 1060
.  .   0 0

3 1 170.117   331 .
.   0 0

3 2 170.117   . 2000
-2  1 1

3 2 172.117   1220   .
.   0 0

3 2 326.333   220 .
.   0 0

3 3 326.55 .   2000
-2 1 1

3 3 328.617   964 .
.   0 0

3 3 504.833   1260   .
.   0 0



*OUTPUT FILE :*



ID   DATE TIME  IPREDCL
D1  V1  IWRES

3 1 0   0
1.7711   113.17   35.2170

3 1 2.61223  1.7711
113.17   35.217 -0.13328

3 1 170.12   567.29   1.7711
113.17   35.217 -0.41653

3 2 194.12   169.68   1.7711
112.49   35.217 -1

3 2 196.12   1114  1.7711
112.49   35.217  0.09514

3 2 350.33   1110  1.7711
112.49   35.217 -0.80181

3 3 374.55   328.36   1.7711
140.63   35.217 -1

3 3 376.62   1089.8   1.7711
140.63   35.217 -0.11542

3 3 552.83   1208.1   1.7711
140.63   35.217 0.04297





 Loïc FIEVET
Interne IPR en pharmacocinétique

Institut Universitaire du Cancer Toulouse - Oncopole
1 avenue Irène Joliot-Curie
31059 TOULOUSE Cedex 9








2015-04-20 19:21 GMT+02:00 Leonid Gibiansky :

> it could be rounding issue when the precision of the TIME in the data file
> exceeds the precision of the TIME in the output of the table. You could
> increase precision of the output using format statement (see manual). Other
> than that, NONMEM should not change TIME variable.
>
> Leonid
>
> --
> Leonid Gibiansky, Ph.D.
> President, QuantPharm LLC
> web:www.quantpharm.com
> e-mail: LGibiansky at quantpharm.com
> tel:(301) 767 5566
>
>
>
> On 4/20/2015 12:12 PM, Diane-Charlotte Imbs wrote:
>
>> Dear nonmem users,
>>
>> We used the option “-2 RATE” of NONMEM (actual rate of infusion is
>> unknown): within the control stream:
>>
>> D1=THETA(1)
>>
>> Moreover, since several infusions are given to the same patients, we
>> have added an inter-occasion variability on D1 (see code below)*
>>
>> We obtained nice fit BUT in the OUTPUT DATA: TIME values corresponding
>> to blood samples (and DV) are not identical to the actual TIME values of
>> the INPUT data !?
>>
>> It seems that NONMEM program adjusts rate values, their interoccasion
>> variability, and sampling times to have a good fit
>>
>> *How to fix TIME value corresponding to blood samples ? Indeed, we do
>> not know the actual infusion rate but we do know the sampling times.*
>>
>> **
>>
>> Can anyone tell me if I chose the right model or help me resolving this?
>>
>> Thanks in advance,
>>
>> *$PK
>>
>> OCC1=0
>>
>> OCC2=0
>>
>> IF(DATE.EQ.1) OCC1=1
>>
>> IF(DATE.EQ.2) OCC2=1
>>
>> D1=THETA(1)*EXP(ETA(3)+ETA(4)*OCC1+ETA(5)*OCC2)
>>
>> $THETA (0,168,);D1
>>
>> $OMEGA .1 ; iiv d1
>>
>> $OMEGA BLOCK(1) .01 ; iov ETA4 OCC1
>>
>> $OMEGA BLOCK(1) SAME ; iov ETA5 OCC2
>>
>>
>> *Loïc FIEVET*
>>
>> */Interne IPR en pharmacocinétique (1^er semestre)/*
>>
>> *Institut Universitaire du Cancer Toulouse - Oncopole*
>>
>> 1 avenue Irène Joliot-Curie
>>
>> 31059 TOULOUSE Cedex 9
>>
>>

RE: [NMusers] variation of time values in output data

2015-04-21 Thread Mats Karlsson

Dear Diane-Charlotte,

NONMEM interprets DATE in your in-data and makes use of it. If you don’t want 
that, rename DATE to something that is not recognized. Each date aboce the 
first adds 24 h to your time column

Best regards,
Mats
Mats Karlsson, PhD
Professor of Pharmacometrics

Dept of Pharmaceutical Biosciences
Faculty of Pharmacy
Uppsala University
Box 591
75124 Uppsala

Phone: +46 18 4714105
Fax + 46 18 4714003
www.farmbio.uu.se/research/researchgroups/pharmacometrics/

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On 
Behalf Of Diane-Charlotte Imbs
Sent: Tuesday, April 21, 2015 11:47 AM
To: Leonid Gibiansky
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] variation of time values in output data

Thank you, Leonid, for your answer but you can see (below) it’s not a rounding 
issue ; there are udge variations of time ?!!!

INPUT FILE :

ID   DATE TIME  DV  AMT  RATE 
MDV  EVID
3 1 00   2000-2 
 1 1
3 1 2.6 1060   .  . 
  0 0
3 1 170.117   331 .  .  
 0 0
3 2 170.117   . 2000   -2   
   1 1
3 2 172.117   1220   .  .   
0 0
3 2 326.333   220 . .   
0 0
3 3 326.55 .   2000-2   
  1 1
3 3 328.617   964 . .   
0 0
3 3 504.833   1260   . .
   0 0

OUTPUT FILE :

ID   DATE TIME  IPREDCL   D1
  V1  IWRES
3 1 0   0 1.7711   
113.17   35.2170
3 1 2.61223  1.7711   
113.17   35.217 -0.13328
3 1 170.12   567.29   1.7711   113.17   
35.217 -0.41653
3 2 194.12   169.68   1.7711   112.49   
35.217 -1
3 2 196.12   1114  1.7711   112.49  
 35.217  0.09514
3 2 350.33   1110  1.7711   112.49  
 35.217 -0.80181
3 3 374.55   328.36   1.7711   140.63   
35.217 -1
3 3 376.62   1089.8   1.7711   140.63   
35.217 -0.11542
3 3 552.83   1208.1   1.7711   140.63   
35.217 0.04297



Loïc FIEVET
Interne IPR en pharmacocinétique

Institut Universitaire du Cancer Toulouse - Oncopole
1 avenue Irène Joliot-Curie
31059 TOULOUSE Cedex 9









2015-04-20 19:21 GMT+02:00 Leonid Gibiansky 
mailto:lgibian...@quantpharm.com>>:
it could be rounding issue when the precision of the TIME in the data file 
exceeds the precision of the TIME in the output of the table. You could 
increase precision of the output using format statement (see manual). Other 
than that, NONMEM should not change TIME variable.

Leonid

--
Leonid Gibiansky, Ph.D.
President, QuantPharm LLC
web:www.quantpharm.com
e-mail: LGibiansky at quantpharm.com
tel:(301) 767 5566



On 4/20/2015 12:12 PM, Diane-Charlotte Imbs wrote:
Dear nonmem users,

We used the option “-2 RATE” of NONMEM (actual rate of infusion is
unknown): within the control stream:

D1=THETA(1)

Moreover, since several infusions are given to the same patients, we
have added an inter-occasion variability on D1 (see code below)*

We obtained nice fit BUT in the OUTPUT DATA: TIME values corresponding
to blood samples (and DV) are not identical to the actual TIME values of
the INPUT data !?

It seems that NONMEM program adjusts rate values, their interoccasion
variability, and sampling times to have a good fit

*How to fix TIME value corresponding to blood samples ? Indeed, we do
not know the actual infusion rate but we do know the sampling times.*

**

Can anyone tell me if I chose the right model or help me resolving this?

Thanks in advance,

*$PK

OCC1=0

OCC2=0

IF(DATE.EQ.1) OCC1=1

IF(DATE.EQ.2) OCC2=1

D1=THETA(1)*EXP(ETA(3)+ETA(4)*OCC1+ETA(5)*OCC2)

$THETA (0,168,);D1

$OMEGA .1 ; iiv d1

$OMEGA BLOCK(1) .01 ; iov ETA4 OCC1

$OMEGA BLOCK(1) SAME ; iov ETA5 OCC2


*Loïc FIEVET*

*/Interne IPR en pharmacocinétique (1^er semestre)/*

*Institut Universitaire du Cancer Toulouse - Oncopole*

1 avenue Irène Joli

RE: [NMusers] variation of time values in output data

2015-04-21 Thread Klaas Prins

If you subtract (DATE-1) * 24 from TIME in the output file it will match TIME 
in input file.
NONMEM reads DATE as a DATE data item, that’s why. I suspect you won’t have 
this if you choose another column name for DATE (e.g. DAY). Note that this may 
also have an effect on the estimation process and thus your parameter estimates 
may change as well (for the better).

Best regards,
Klaas


From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On 
Behalf Of Diane-Charlotte Imbs
Sent: Tuesday, April 21, 2015 11:47 AM
To: Leonid Gibiansky
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] variation of time values in output data

Thank you, Leonid, for your answer but you can see (below) it’s not a rounding 
issue ; there are udge variations of time ?!!!

INPUT FILE :

ID   DATE TIME  DV  AMT  RATE 
MDV  EVID
3 1 00   2000-2 
 1 1
3 1 2.6 1060   .  . 
  0 0
3 1 170.117   331 .  .  
 0 0
3 2 170.117   . 2000   -2   
   1 1
3 2 172.117   1220   .  .   
0 0
3 2 326.333   220 . .   
0 0
3 3 326.55 .   2000-2   
  1 1
3 3 328.617   964 . .   
0 0
3 3 504.833   1260   . .
   0 0

OUTPUT FILE :

ID   DATE TIME  IPREDCL   D1
  V1  IWRES
3 1 0   0 1.7711   
113.17   35.2170
3 1 2.61223  1.7711   
113.17   35.217 -0.13328
3 1 170.12   567.29   1.7711   113.17   
35.217 -0.41653
3 2 194.12   169.68   1.7711   112.49   
35.217 -1
3 2 196.12   1114  1.7711   112.49  
 35.217  0.09514
3 2 350.33   1110  1.7711   112.49  
 35.217 -0.80181
3 3 374.55   328.36   1.7711   140.63   
35.217 -1
3 3 376.62   1089.8   1.7711   140.63   
35.217 -0.11542
3 3 552.83   1208.1   1.7711   140.63   
35.217 0.04297



Loïc FIEVET
Interne IPR en pharmacocinétique

Institut Universitaire du Cancer Toulouse - Oncopole
1 avenue Irène Joliot-Curie
31059 TOULOUSE Cedex 9









2015-04-20 19:21 GMT+02:00 Leonid Gibiansky 
mailto:lgibian...@quantpharm.com>>:
it could be rounding issue when the precision of the TIME in the data file 
exceeds the precision of the TIME in the output of the table. You could 
increase precision of the output using format statement (see manual). Other 
than that, NONMEM should not change TIME variable.

Leonid

--
Leonid Gibiansky, Ph.D.
President, QuantPharm LLC
web:www.quantpharm.com
e-mail: LGibiansky at quantpharm.com
tel:(301) 767 5566



On 4/20/2015 12:12 PM, Diane-Charlotte Imbs wrote:
Dear nonmem users,

We used the option “-2 RATE” of NONMEM (actual rate of infusion is
unknown): within the control stream:

D1=THETA(1)

Moreover, since several infusions are given to the same patients, we
have added an inter-occasion variability on D1 (see code below)*

We obtained nice fit BUT in the OUTPUT DATA: TIME values corresponding
to blood samples (and DV) are not identical to the actual TIME values of
the INPUT data !?

It seems that NONMEM program adjusts rate values, their interoccasion
variability, and sampling times to have a good fit

*How to fix TIME value corresponding to blood samples ? Indeed, we do
not know the actual infusion rate but we do know the sampling times.*

**

Can anyone tell me if I chose the right model or help me resolving this?

Thanks in advance,

*$PK

OCC1=0

OCC2=0

IF(DATE.EQ.1) OCC1=1

IF(DATE.EQ.2) OCC2=1

D1=THETA(1)*EXP(ETA(3)+ETA(4)*OCC1+ETA(5)*OCC2)

$THETA (0,168,);D1

$OMEGA .1 ; iiv d1

$OMEGA BLOCK(1) .01 ; iov ETA4 OCC1

$OMEGA BLOCK(1) SAME ; iov ETA5 OCC2


*Loïc FIEVET*

*/Interne IPR en pharmacocinétique (1^er semestre)/*

*Institut Universitaire du Cancer Toulouse - Oncopole*

1 avenue Irène Joliot-Curie

31059 TOULOUSE Cedex 9

Re: [NMusers] variation of time values in output data

2015-04-21 Thread Maria Kjellsson

I think the problem is the DATE column. If this column is called DATE also in 
$INPUT it will be interpreted as a date and NONMEM will adjust your time 
according to that date, adding 24 hours.
Even though you put =DROP on this column NM will recognise DATE. Call is 
something else unless you want to have it on different times.

Kind regards,
Mia

_
Maria Kjellsson, PhD
Associate Professor in Pharmacometrics

Pharmacometrics research group
Dep of Pharmaceutical Biosciences
Uppsala University

Box 591
SE-751 24 Uppsala, Sweden

Phone: +46 18 471 4009
www.farmbio.uu.se/research/researchgroups/pharmacometrics

On 21 Apr 2015, at 11:46, Diane-Charlotte Imbs 
mailto:diane.charlotte.i...@gmail.com>> wrote:


Thank you, Leonid, for your answer but you can see (below) it’s not a rounding 
issue ; there are udge variations of time ?!!!

INPUT FILE :

ID   DATE TIME  DV  AMT  RATE 
MDV  EVID
3 1 00   2000-2 
 1 1
3 1 2.6 1060   .  . 
  0 0
3 1 170.117   331 .  .  
 0 0
3 2 170.117   . 2000   -2   
   1 1
3 2 172.117   1220   .  .   
0 0
3 2 326.333   220 . .   
0 0
3 3 326.55 .   2000-2   
  1 1
3 3 328.617   964 . .   
0 0
3 3 504.833   1260   . .
   0 0

OUTPUT FILE :

ID   DATE TIME  IPREDCL   D1
  V1  IWRES
3 1 0   0 1.7711   
113.17   35.2170
3 1 2.61223  1.7711   
113.17   35.217 -0.13328
3 1 170.12   567.29   1.7711   113.17   
35.217 -0.41653
3 2 194.12   169.68   1.7711   112.49   
35.217 -1
3 2 196.12   1114  1.7711   112.49  
 35.217  0.09514
3 2 350.33   1110  1.7711   112.49  
 35.217 -0.80181
3 3 374.55   328.36   1.7711   140.63   
35.217 -1
3 3 376.62   1089.8   1.7711   140.63   
35.217 -0.11542
3 3 552.83   1208.1   1.7711   140.63   
35.217 0.04297



Loïc FIEVET
Interne IPR en pharmacocinétique

Institut Universitaire du Cancer Toulouse - Oncopole
1 avenue Irène Joliot-Curie
31059 TOULOUSE Cedex 9
















2015-04-20 19:21 GMT+02:00 Leonid Gibiansky 
mailto:lgibian...@quantpharm.com>>:
it could be rounding issue when the precision of the TIME in the data file 
exceeds the precision of the TIME in the output of the table. You could 
increase precision of the output using format statement (see manual). Other 
than that, NONMEM should not change TIME variable.

Leonid

--
Leonid Gibiansky, Ph.D.
President, QuantPharm LLC
web:www.quantpharm.com
e-mail: LGibiansky at quantpharm.com
tel:(301) 767 5566



On 4/20/2015 12:12 PM, Diane-Charlotte Imbs wrote:
Dear nonmem users,

We used the option “-2 RATE” of NONMEM (actual rate of infusion is
unknown): within the control stream:

D1=THETA(1)

Moreover, since several infusions are given to the same patients, we
have added an inter-occasion variability on D1 (see code below)*

We obtained nice fit BUT in the OUTPUT DATA: TIME values corresponding
to blood samples (and DV) are not identical to the actual TIME values of
the INPUT data !?

It seems that NONMEM program adjusts rate values, their interoccasion
variability, and sampling times to have a good fit

*How to fix TIME value corresponding to blood samples ? Indeed, we do
not know the actual infusion rate but we do know the sampling times.*

**

Can anyone tell me if I chose the right model or help me resolving this?

Thanks in advance,

*$PK

OCC1=0

OCC2=0

IF(DATE.EQ.1) OCC1=1

IF(DATE.EQ.2) OCC2=1

D1=THETA(1)*EXP(ETA(3)+ETA(4)*OCC1+ETA(5)*OCC2)

$THETA (0,168,);D1

$OMEGA .1 ; iiv d1

$OMEGA BLOCK(1) .01 ; iov ETA4 OCC1

$OMEGA BLOCK(1) SAME ; iov ETA5 OCC2


*Loïc FIEVET*

*/Interne IPR en pharmacocinétique (1^er semestre)/*

*Institut Universitaire du Cancer Toulouse - Oncopole*

1 avenue

[NMusers] Summer Intern Position at Johnson & Johnson - PA - USA

2015-04-21 Thread Hu, Chuanpu [JRDUS]

Dear all,

The Pharmacological and Translational Modeling group in Model Based Drug 
Development, Janssen Research & Development, LLC, located in Spring House, PA, 
is looking for an intern this summer. This intern will work in a congenial 
group having pharmacological as well as statistical expertise, and gain 
exposure to industry. The work will be supporting research initiatives on 
population PK/PD modeling of multiple endpoints in clinical drug development

Candidates should be enrolled in a doctoral degree program in pharmacokinetics, 
pharmaceutical sciences, pharmacy, biostatistics or related disciplines. The 
ideal candidate will have working knowledge of NONMEM as well as graphically 
presenting the results in S-PLUS/R. Programming experience in Fortran will be a 
plus. Motivation, attention to details, teamwork and communication skills are 
also required.

Interested candidates should apply at:
http://jobs.jnj.com/s/TqVoYN
Job Number (Quantitative Sciences): 0WVS

Thank you,
Chuanpu

~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
Chuanpu Hu, Ph.D.
Scientific Director
Model Based Drug Development
Janssen Pharmaceutical Companies of Johnson & Johnson
1400 McKean Road, PO Box 776, Spring House, PA 19477
Office Phone: 215- 540-4067
Fax: 215-540-4614
E-mail: ch...@its.jnj.com
~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On 
Behalf Of Zhang, Liping [JRDUS]
Sent: Wednesday, March 25, 2015 2:05 PM
To: nmusers@globomaxnm.com
Subject: [NMusers] Intership opportunity at Janssen R&D (JNJ) in PA and NJ, USA

Dear NMusers,

The Clinical Pharmacology (CP) department at Janssen R&D (JRD) is sponsoring a 
summer internship program to nurture and train individuals who can contribute 
to our goal of discovering and developing innovative medicines.  Students will 
have an opportunity to be exposed to end-to-end drug development and the 
development of clinical pharmacology strategy in an industry setting.  Summer 
internships are available for students working towards a Pharm D, MD, or PhD in 
their final years in pharmaceutical sciences, pharmacology or a related field 
focusing on quantitative analyses of biological systems/processes. A successful 
candidate shall have solid understanding on PK/PD and hands-on modeling skills. 
Proficiency with NONMEM, R, Phoenix, etc is preferred. Understanding on 
clinical study design, experimental approaches for meeting clinical trial 
objectives relating to pharmacokinetic/pharmacodynamic assessments, 
landscape/meta-analysis is strongly preferred.

These paid internship assignments are designed for graduate level students in 
their final year of their training.  Students work under one or more hands-on 
scientists who provide mentorship during the 10- to 12-week internship (May to 
Aug). This program may be based in our Titusville campus in New Jersey or 
Spring house campus in Pennsylvania.

Qualified students should submit their resume to Dr. Damayanthi Devineni 
(ddevi...@its.jnj.com) as soon as possible. The 
students should also formally apply for these positions at our HR portal: 
Quantitative Sciences Job Number: 0WVS; Link: http://jobs.jnj.com/s/TqVoYN.

Thank you!

Liping Zhang

Janssen R&D, the Pharmaceutical Company of JNJ

[NMusers] Clinical Pharmacology Lead Opening at Pfizer

2015-04-21 Thread Krishnaswami, Sriram

https://globaljobs.pfizer.com/pages/jobs.aspx
Job ID: 1011589

All over the world, Pfizer colleagues are working together to positively impact 
health for everyone, everywhere. Each position at Pfizer touches and 
contributes to the success of our business and our world. That's why, as one of 
the global leaders in the biopharmaceutical industry, Pfizer is committed to 
seeking out inspired new talent who share our core values and mission of making 
the world a healthier place.

Role Description
The Clinical Pharmacology Lead serves as the Clinical Pharmacology 
representative on multidisciplinary development teams and provides clinical 
pharmacology expertise and leadership to a project. The position entails 
partnering with development colleagues to integrate prior knowledge in order to 
develop innovative clinical development strategies and study designs for Phase 
1-IV clinical trials by applying the principles of model based drug development 
The position entails partnering with development colleagues to integrate prior 
knowledge in order to develop innovative clinical development strategies and 
study designs for Phase 1-IV clinical trials by applying the principles of 
model based drug development in the area of inflammation & Immunology.
Clinical Pharmacology Leads work closely with clinicians and statisticians to 
create clinical development plans that include assessments of a drug's 
efficacy, safety, commercial viability and fulfillment of registration 
requirements. The Clinical Pharmacology Lead has primary responsibility for the 
clinical pharmacology components of the development plan.

In order to achieve these aims, Clinical Pharmacology Leads are responsible for 
the use of innovative analytical methods to integrate knowledge of 
pharmacokinetics, biopharmaceutics, pharmacodynamics, patient characteristics 
and disease states to optimize doses, dosage regimens and study designs, and to 
provide clinical pharmacology support and leadership in the preparation and 
defense of regulatory submissions.

Clinical Pharmacology Leads routinely interact with internal governance bodies, 
regulatory agencies and external opinion leaders. They are expected and 
encouraged to influence the external environment by advancing their discipline 
through external presentations and publications.

Responsibilities
* Serves as the Clinical Pharmacology representative on Drug Development and 
Clinical Sub-Teams from post proof-of concept (POC) through loss of exclusivity 
and provides clinical pharmacology expertise and leadership to projects
* Responsible for use of innovative analytical methods to integrate knowledge 
of pharmacokinetics, pharmacodynamics, patient characteristics and disease 
states to determine probability of success, optimize doses, dosage regimens and 
study designs throughout clinical drug development
* Plans and directs clinical pharmacology components of clinical programs 
(including clinical development plan) and studies (including synopsis 
preparation; clinical phase oversight, when appropriate; reporting)
* Works with multifunctional study team to design, deliver and report the 
assigned clinical pharmacology studies and has overall scientific 
accountability for the designated studies
* Responsible (with Clinicians and Statisticians) for ensuring appropriate 
dose-finding strategies during clinical drug development that will ensure 
optimal doses and dosage regimens in patients
* Accountable for the development and implementation of a clinical modeling and 
simulation plan based on agreed upon best practices (i.e. model-based drug 
development).
* Responsible for appropriate summarization and interpretation of results of 
pharmacokinetic/pharmacodynamic (PK-PD) analyses, including quantitative 
contextualization of competitor data with respect to their impact on 
development and clinical use of drugs
* During the pre-POC stage of drug development, collaborates with Clinical 
Research to ensure that principles of model-based drug development have been 
applied to planning for POC
* Provides clinical pharmacology support and leadership in the preparation and 
defense of regulatory submissions

Qualifications
EDUCATION AND EXPERIENCE

The ideal candidates will have a doctorate degree with demonstrated expertise 
in clinical pharmacology and/or pharmacometrics and strong quantitative skills 
(e.g. experience in mechanistic modeling/systems pharmacology, quantitative 
translational scaling, literature meta-analyses, population modeling, and 
clinical trial simulations) using NONMEM, R etc.

TECHNICAL SKILLS REQUIREMENTS

PK/PD modeling and simulation skills such as those listed above
Excellent verbal and written communication skills

PHYSICAL POSITION REQUIREMENTS
This is an "office"-based job that will require the ability to travel

EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of 
employment for all employees and job applicants witho

Re: [NMusers] variation of time values in output data

RE: [NMusers] variation of time values in output data

RE: [NMusers] variation of time values in output data

Re: [NMusers] variation of time values in output data

[NMusers] Summer Intern Position at Johnson & Johnson - PA - USA

[NMusers] Clinical Pharmacology Lead Opening at Pfizer

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